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Ultronprime
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json
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Ultronprime commited on
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  1. README.md +7 -5
  2. index.html +523 -19
  3. prompts.txt +4 -0
README.md CHANGED
@@ -1,10 +1,12 @@
1
  ---
2
- title: Json
3
- emoji: 📉
4
- colorFrom: blue
5
- colorTo: gray
6
  sdk: static
7
  pinned: false
 
 
8
  ---
9
 
10
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
1
  ---
2
+ title: json
3
+ emoji: 🐳
4
+ colorFrom: pink
5
+ colorTo: green
6
  sdk: static
7
  pinned: false
8
+ tags:
9
+ - deepsite
10
  ---
11
 
12
+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
index.html CHANGED
@@ -1,19 +1,523 @@
1
- <!doctype html>
2
- <html>
3
- <head>
4
- <meta charset="utf-8" />
5
- <meta name="viewport" content="width=device-width" />
6
- <title>My static Space</title>
7
- <link rel="stylesheet" href="style.css" />
8
- </head>
9
- <body>
10
- <div class="card">
11
- <h1>Welcome to your static Space!</h1>
12
- <p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
13
- <p>
14
- Also don't forget to check the
15
- <a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
16
- </p>
17
- </div>
18
- </body>
19
- </html>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!DOCTYPE html>
2
+ <html lang="en">
3
+ <head>
4
+ <meta charset="UTF-8">
5
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
6
+ <title>Advanced JSON Data Viewer</title>
7
+ <script src="https://cdn.tailwindcss.com"></script>
8
+ <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
9
+ <style>
10
+ .data-type {
11
+ display: inline-block;
12
+ padding: 2px 6px;
13
+ border-radius: 4px;
14
+ font-size: 10px;
15
+ font-weight: 500;
16
+ text-transform: uppercase;
17
+ margin-right: 4px;
18
+ }
19
+ .string { background-color: #93c5fd; color: #1e3a8a; }
20
+ .number { background-color: #86efac; color: #166534; }
21
+ .boolean { background-color: #fca5a5; color: #991b1b; }
22
+ .object { background-color: #d8b4fe; color: #5b21b6; }
23
+ .array { background-color: #fcd34d; color: #9a3412; }
24
+ .null { background-color: #9ca3af; color: #1f2937; }
25
+ .json-dropzone {
26
+ border: 2px dashed #ccc;
27
+ border-radius: 8px;
28
+ min-height: 150px;
29
+ display: flex;
30
+ flex-direction: column;
31
+ justify-content: center;
32
+ align-items: center;
33
+ padding: 20px;
34
+ cursor: pointer;
35
+ transition: all 0.2s;
36
+ }
37
+ .json-dropzone.active {
38
+ border-color: #3b82f6;
39
+ background-color: #f0f7ff;
40
+ }
41
+ .expand-icon {
42
+ transition: transform 0.2s;
43
+ cursor: pointer;
44
+ }
45
+ .expanded .expand-icon {
46
+ transform: rotate(90deg);
47
+ }
48
+ .tree-node {
49
+ margin-left: 16px;
50
+ border-left: 1px dashed #d1d5db;
51
+ padding-left: 8px;
52
+ }
53
+ .tree-node-header {
54
+ display: flex;
55
+ align-items: center;
56
+ padding: 4px 0;
57
+ cursor: pointer;
58
+ }
59
+ .tree-node-header:hover {
60
+ background-color: #f3f4f6;
61
+ }
62
+ .highlight-schema {
63
+ background-color: rgba(167, 243, 208, 0.3);
64
+ }
65
+ .sticky-header {
66
+ position: sticky;
67
+ top: 0;
68
+ background-color: white;
69
+ z-index: 10;
70
+ }
71
+ </style>
72
+ </head>
73
+ <body class="bg-gray-50">
74
+ <div class="container mx-auto px-4 py-8">
75
+ <h1 class="text-3xl font-bold text-gray-800 mb-6">Advanced JSON Data Viewer</h1>
76
+
77
+ <!-- File Upload Section -->
78
+ <div class="bg-white rounded-lg shadow-md p-6 mb-6">
79
+ <h2 class="text-xl font-semibold text-gray-700 mb-4">Upload JSON Files</h2>
80
+
81
+ <div
82
+ id="dropzone"
83
+ class="json-dropzone"
84
+ ondragover="event.preventDefault(); document.getElementById('dropzone').classList.add('active');"
85
+ ondragleave="event.preventDefault(); document.getElementById('dropzone').classList.remove('active');"
86
+ ondrop="event.preventDefault(); document.getElementById('dropzone').classList.remove('active'); handleFiles(event.dataTransfer.files);"
87
+ >
88
+ <i class="fas fa-file-upload text-4xl text-blue-500 mb-3"></i>
89
+ <p class="text-gray-600 mb-2">Drag & Drop JSON files here</p>
90
+ <p class="text-gray-400 text-sm mb-4">or</p>
91
+ <label for="fileInput" class="bg-blue-500 hover:bg-blue-600 text-white px-4 py-2 rounded-md cursor-pointer transition">
92
+ <span>Select Files</span>
93
+ <input id="fileInput" type="file" accept=".json" multiple class="hidden" onchange="handleFiles(this.files)">
94
+ </label>
95
+ </div>
96
+
97
+ <div id="fileList" class="mt-4 grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-4"></div>
98
+ </div>
99
+
100
+ <!-- Schema Visualization & Processing Section -->
101
+ <div id="processingSection" class="hidden bg-white rounded-lg shadow-md p-6 mb-6">
102
+ <div class="flex items-center justify-between mb-4">
103
+ <h2 class="text-xl font-semibold text-gray-700">Schema Analysis</h2>
104
+ <div>
105
+ <button id="analyzeBtn" class="bg-green-500 hover:bg-green-600 text-white px-4 py-2 rounded-md transition">
106
+ <i class="fas fa-cog mr-2"></i> Analyze Schemas
107
+ </button>
108
+ </div>
109
+ </div>
110
+
111
+ <div class="flex mb-4">
112
+ <div class="w-1/2 pr-4">
113
+ <h3 class="text-lg font-medium text-gray-700 mb-2">Detected Fields</h3>
114
+ <div id="schemaTree" class="max-h-96 overflow-y-auto border border-gray-200 rounded-md p-2"></div>
115
+ </div>
116
+ <div class="w-1/2 pl-4">
117
+ <h3 class="text-lg font-medium text-gray-700 mb-2">Schema Details</h3>
118
+ <div id="schemaDetails" class="max-h-96 overflow-y-auto border border-gray-200 rounded-md p-2">
119
+ <p class="text-gray-500 text-center py-8">Select a field to view details</p>
120
+ </div>
121
+ </div>
122
+ </div>
123
+
124
+ <div class="flex items-center justify-center py-4" id="loadingIndicator">
125
+ <i class="fas fa-spinner fa-spin text-blue-500 text-3xl hidden"></i>
126
+ </div>
127
+ </div>
128
+
129
+ <!-- Data Table Section -->
130
+ <div id="resultSection" class="hidden bg-white rounded-lg shadow-md p-6">
131
+ <div class="flex items-center justify-between mb-4">
132
+ <h2 class="text-xl font-semibold text-gray-700">Data View</h2>
133
+ <div class="flex space-x-2">
134
+ <div class="relative">
135
+ <select id="viewMode" class="appearance-none bg-gray-100 border border-gray-300 rounded-md px-3 py-2 pr-8">
136
+ <option value="table">Table View</option>
137
+ <option value="tree">Tree View</option>
138
+ </select>
139
+ <div class="pointer-events-none absolute inset-y-0 right-0 flex items-center px-2 text-gray-700">
140
+ <i class="fas fa-chevron-down text-xs"></i>
141
+ </div>
142
+ </div>
143
+ <button id="exportBtn" class="bg-indigo-500 hover:bg-indigo-600 text-white px-4 py-2 rounded-md transition">
144
+ <i class="fas fa-file-export mr-2"></i> Export
145
+ </button>
146
+ <button id="clearBtn" class="bg-red-500 hover:bg-red-600 text-white px-4 py-2 rounded-md transition">
147
+ <i class="fas fa-trash mr-2"></i> Clear
148
+ </button>
149
+ </div>
150
+ </div>
151
+
152
+ <!-- Table View -->
153
+ <div id="tableView" class="overflow-x-auto">
154
+ <table id="resultTable" class="min-w-full border-collapse">
155
+ <thead>
156
+ <tr class="sticky-header border-b border-gray-200">
157
+ <th class="bg-gray-100 px-4 py-2 text-left text-gray-700">#</th>
158
+ <th class="bg-gray-100 px-4 py-2 text-left text-gray-700">Source</th>
159
+ <!-- Columns will be added dynamically -->
160
+ </tr>
161
+ </thead>
162
+ <tbody>
163
+ <!-- Data will be added dynamically -->
164
+ </tbody>
165
+ </table>
166
+ </div>
167
+
168
+ <!-- Tree View -->
169
+ <div id="treeView" class="hidden max-h-96 overflow-y-auto border border-gray-200 rounded-md p-2">
170
+ <!-- Data will be added dynamically -->
171
+ </div>
172
+
173
+ <!-- Summary Section -->
174
+ <div class="mt-6 p-4 bg-gray-50 rounded-md">
175
+ <h3 class="font-medium text-gray-700 mb-3">Schema Summary</h3>
176
+ <div id="summaryContent" class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-4">
177
+ <div class="bg-white p-3 rounded-md shadow-sm">
178
+ <h4 class="text-sm font-medium text-gray-500 mb-1">Files Processed</h4>
179
+ <p id="fileCount" class="text-lg font-semibold text-gray-800">0</p>
180
+ </div>
181
+ <div class="bg-white p-3 rounded-md shadow-sm">
182
+ <h4 class="text-sm font-medium text-gray-500 mb-1">Total Records</h4>
183
+ <p id="recordCount" class="text-lg font-semibold text-gray-800">0</p>
184
+ </div>
185
+ <div class="bg-white p-3 rounded-md shadow-sm">
186
+ <h4 class="text-sm font-medium text-gray-500 mb-1">Unique Fields</h4>
187
+ <p id="fieldCount" class="text-lg font-semibold text-gray-800">0</p>
188
+ </div>
189
+ </div>
190
+ </div>
191
+ </div>
192
+ </div>
193
+
194
+ <script>
195
+ // Global data store
196
+ const jsonData = {
197
+ files: [], // Array of loaded JSON files
198
+ schema: {}, // Combined schema of all JSON files
199
+ analysis: { // Results of schema analysis
200
+ fieldStats: {}, // Statistics about each field
201
+ commonFields: [],// List of fields common to all files
202
+ uniqueFields: [] // List of fields unique to specific files
203
+ },
204
+ records: [] // Flattened records for display
205
+ };
206
+
207
+ // Handle file selection/drop
208
+ function handleFiles(files) {
209
+ const fileListContainer = document.getElementById('fileList');
210
+ fileListContainer.innerHTML = '';
211
+ jsonData.files = [];
212
+
213
+ if (!files.length) return;
214
+
215
+ // Show processing section
216
+ document.getElementById('processingSection').classList.remove('hidden');
217
+
218
+ let filesLoaded = 0;
219
+ for (let i = 0; i < files.length; i++) {
220
+ const file = files[i];
221
+ if (file.type !== 'application/json' && !file.name.endsWith('.json')) {
222
+ continue;
223
+ }
224
+
225
+ const reader = new FileReader();
226
+ reader.onload = function(e) {
227
+ try {
228
+ const content = JSON.parse(e.target.result);
229
+
230
+ jsonData.files.push({
231
+ name: file.name,
232
+ data: content,
233
+ schema: extractSchema(content)
234
+ });
235
+
236
+ // Add to file list display
237
+ const fileCard = document.createElement('div');
238
+ fileCard.className = 'bg-gray-50 p-3 rounded-md border border-gray-200 flex items-center justify-between';
239
+ fileCard.innerHTML = `
240
+ <div class="flex items-center">
241
+ <i class="fas fa-file-alt text-blue-400 mr-3"></i>
242
+ <span class="text-gray-700 font-medium truncate" title="${file.name}">${file.name}</span>
243
+ </div>
244
+ <span class="text-xs text-green-600 bg-green-100 px-2 py-1 rounded-full">Loaded</span>
245
+ `;
246
+ fileListContainer.appendChild(fileCard);
247
+
248
+ filesLoaded++;
249
+
250
+ // When all files are loaded, analyze them
251
+ if (filesLoaded === files.length) {
252
+ analyzeSchemas();
253
+ }
254
+ } catch (error) {
255
+ alert(`Error parsing ${file.name}: ${error.message}`);
256
+ }
257
+ };
258
+ reader.readAsText(file);
259
+ }
260
+ }
261
+
262
+ // Extract schema from JSON data
263
+ function extractSchema(data, prefix = '') {
264
+ const schema = {};
265
+
266
+ if (data === null) {
267
+ return { type: 'null', sample: null };
268
+ }
269
+
270
+ const type = Array.isArray(data) ? 'array' : typeof data;
271
+
272
+ if (type === 'object') {
273
+ schema.type = 'object';
274
+ schema.properties = {};
275
+
276
+ Object.keys(data).forEach(key => {
277
+ schema.properties[key] = extractSchema(data[key], prefix ? `${prefix}.${key}` : key);
278
+ });
279
+ }
280
+ else if (type === 'array') {
281
+ schema.type = 'array';
282
+ schema.items = data.length > 0 ? extractSchema(data[0], `${prefix}[]`) : { type: 'unknown' };
283
+ }
284
+ else {
285
+ schema.type = type;
286
+ schema.sample = data;
287
+ }
288
+
289
+ return schema;
290
+ }
291
+
292
+ // Analyze all loaded schemas
293
+ function analyzeSchemas() {
294
+ const loadingElement = document.getElementById('loadingIndicator').firstElementChild;
295
+ loadingElement.classList.remove('hidden');
296
+
297
+ // Reset analysis
298
+ jsonData.analysis = {
299
+ fieldStats: {},
300
+ commonFields: [],
301
+ uniqueFields: []
302
+ };
303
+
304
+ setTimeout(() => {
305
+ // Combine all schemas into one big schema
306
+ jsonData.schema = combineSchemas(jsonData.files.map(file => file.schema));
307
+
308
+ // Extract flattened field list
309
+ const allFields = flattenSchema(jsonData.schema);
310
+
311
+ // Calculate field statistics
312
+ allFields.forEach(field => {
313
+ jsonData.analysis.fieldStats[field.path] = {
314
+ types: new Set(),
315
+ samples: new Set(),
316
+ presentIn: new Set(),
317
+ path: field.path,
318
+ ...field.info
319
+ };
320
+ });
321
+
322
+ // Calculate which files contain which fields
323
+ jsonData.files.forEach(file => {
324
+ const fileFields = flattenSchema(file.schema).map(f => f.path);
325
+ fileFields.forEach(fieldPath => {
326
+ jsonData.analysis.fieldStats[fieldPath].presentIn.add(file.name);
327
+ });
328
+ });
329
+
330
+ // Convert Sets to Arrays for easier display
331
+ Object.values(jsonData.analysis.fieldStats).forEach(stats => {
332
+ stats.types = Array.from(stats.types);
333
+ stats.samples = Array.from(stats.samples);
334
+ stats.presentIn = Array.from(stats.presentIn);
335
+ });
336
+
337
+ // Identify common and unique fields
338
+ const fileCount = jsonData.files.length;
339
+ Object.entries(jsonData.analysis.fieldStats).forEach(([path, stats]) => {
340
+ if (stats.presentIn.length === fileCount) {
341
+ jsonData.analysis.commonFields.push(path);
342
+ } else {
343
+ jsonData.analysis.uniqueFields.push({
344
+ path: path,
345
+ files: stats.presentIn
346
+ });
347
+ }
348
+ });
349
+
350
+ // Update UI
351
+ displaySchemaTree();
352
+ updateSummaryStats();
353
+
354
+ loadingElement.classList.add('hidden');
355
+ document.getElementById('resultSection').classList.remove('hidden');
356
+ }, 500);
357
+ }
358
+
359
+ // Combine multiple schemas into one
360
+ function combineSchemas(schemas) {
361
+ if (schemas.length === 0) return {};
362
+ if (schemas.length === 1) return schemas[0];
363
+
364
+ const combined = JSON.parse(JSON.stringify(schemas[0]));
365
+
366
+ for (let i = 1; i < schemas.length; i++) {
367
+ mergeSchema(combined, schemas[i]);
368
+ }
369
+
370
+ return combined;
371
+ }
372
+
373
+ // Merge two schemas
374
+ function mergeSchema(target, source) {
375
+ // If types are different, mark as union type
376
+ if (target.type !== source.type) {
377
+ if (!target.types) target.types = new Set([target.type]);
378
+ target.types.add(source.type);
379
+ target.type = 'mixed';
380
+ return;
381
+ }
382
+
383
+ // Handle objects
384
+ if (target.type === 'object' && source.type === 'object') {
385
+ // Merge properties
386
+ if (!target.properties) target.properties = {};
387
+
388
+ // Add all properties from source
389
+ Object.keys(source.properties).forEach(key => {
390
+ if (target.properties[key]) {
391
+ mergeSchema(target.properties[key], source.properties[key]);
392
+ } else {
393
+ target.properties[key] = source.properties[key];
394
+ }
395
+ });
396
+ }
397
+ // Handle arrays
398
+ else if (target.type === 'array' && source.type === 'array') {
399
+ if (target.items && source.items) {
400
+ mergeSchema(target.items, source.items);
401
+ } else if (source.items) {
402
+ target.items = source.items;
403
+ }
404
+ }
405
+ // Handle primitive types
406
+ else {
407
+ // Keep samples for primitive types
408
+ if (target.sample !== source.sample) {
409
+ if (!Array.isArray(target.samples)) {
410
+ target.samples = [target.sample];
411
+ }
412
+ target.samples.push(source.sample);
413
+ }
414
+ }
415
+ }
416
+
417
+ // Flatten schema to get all paths
418
+ function flattenSchema(schema, path = '', prefix = '', result = []) {
419
+ if (schema === null || typeof schema !== 'object') return result;
420
+
421
+ if (schema.type === 'object' && schema.properties) {
422
+ Object.entries(schema.properties).forEach(([key, value]) => {
423
+ const newPath = path ? `${path}.${key}` : key;
424
+ const newPrefix = prefix ? `${prefix} > ${key}` : key;
425
+
426
+ result.push({
427
+ path: newPath,
428
+ displayPath: newPrefix,
429
+ info: {
430
+ type: value.type,
431
+ sample: value.sample || (value.samples ? value.samples[0] : null),
432
+ possibleTypes: value.types ? Array.from(value.types) : [value.type],
433
+ samples: value.samples || (value.sample ? [value.sample] : [])
434
+ }
435
+ });
436
+
437
+ flattenSchema(value, newPath, newPrefix, result);
438
+ });
439
+ }
440
+ else if (schema.type === 'array' && schema.items) {
441
+ const newPath = path ? `${path}[]` : '[]';
442
+ const newPrefix = prefix ? `${prefix} > [item]` : '[item]';
443
+
444
+ result.push({
445
+ path: newPath,
446
+ displayPath: newPrefix,
447
+ info: {
448
+ type: `array<${schema.items.type}>`,
449
+ sample: schema.items.sample || (schema.items.samples ? schema.items.samples[0] : null),
450
+ possibleTypes: schema.items.types ? Array.from(schema.items.types) : [schema.items.type],
451
+ samples: schema.items.samples || (schema.items.sample ? [schema.items.sample] : [])
452
+ }
453
+ });
454
+
455
+ flattenSchema(schema.items, newPath, newPrefix, result);
456
+ }
457
+ else if (schema.type) {
458
+ result.push({
459
+ path: path,
460
+ displayPath: prefix,
461
+ info: {
462
+ type: schema.type,
463
+ sample: schema.sample || (schema.samples ? schema.samples[0] : null),
464
+ possibleTypes: schema.types ? Array.from(schema.types) : [schema.type],
465
+ samples: schema.samples || (schema.sample ? [schema.sample] : [])
466
+ }
467
+ });
468
+ }
469
+
470
+ return result;
471
+ }
472
+
473
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prompts.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ Google has indeed developed several projects aimed at enhancing hearing abilities for people who are deaf or hard of hearing. Here's what the company has been working on: ## AI-Enhanced Hearing Aids Google is developing AI technology to improve hearing aids by reducing background noise and customizing the user's listening experience[2]. Their system uses machine learning algorithms to: - Identify and filter out background noise - Amplify important sounds like speech while suppressing unwanted noise - Automatically adjust to the user's specific needs without manual intervention - Learn user preferences and adapt to different listening environments[2] ## Australian Research Partnership In 2025, Google announced partnerships with five leading Australian hearing healthcare organizations, including Cochlear, National Acoustic Laboratories (NAL), and others[3]. This collaboration aims to: - Apply AI and machine learning to challenges in listening and communication - Personalize hearing models to better address individual listening needs - Enhance hearing aids and other listening devices - Help users in complex listening environments like busy restaurants or concerts[3][4] The project specifically explores using AI to identify, categorize, and segregate sound sources, making it easier for people with hearing loss to follow conversations by prioritizing important sounds[3]. ## Android Accessibility Improvements Google has recently rolled out updates to improve the hearing aid experience on Android phones, starting with the Samsung Galaxy S25 and Google Pixel 9[5]. These updates include: - Easy hearing aid management directly from Android device settings - Hands-free calling for hearing aid users - Personalized audio adjustments - Low-latency connection to hearing aids using new Bluetooth LE Audio technology[5] Additionally, Google has developed other accessibility tools for Android including Live Transcribe, Sound Amplifier, Live Caption, and improved TalkBack features[4]. These initiatives demonstrate Google's ongoing commitment to using technology to make the world more accessible for people with hearing loss. Citations: [1] https://hearingreview.com/miscellaneous/google-funds-internet-accessibility-project-for-the-deaf [2] https://www.hear4u.co.uk/how-google-is-using-ai-to-improve-hearing/ [3] https://www.hearingtracker.com/news/google-to-work-with-leading-australian-hearing-care-researchers-on-new-ai-and-machine-learning-solutions [4] https://blog.google/intl/en-au/company-news/technology/ai-hearing-initiative/ [5] https://hearingpractitionernews.com.au/google-updates-improve-hearing-aid-experience-on-android-phones/ [6] https://about.google/intl/my_us/stories/making-conversation-more-accessible-with-live-transcribe/ [7] https://support.google.com/accessibility/answer/15529205 [8] https://techwithmuchiri.com/google-to-launch-project-for-people-with-hearing-impairment/ [9] https://blog.google/feed/auracast-hearing-aids-earbuds/ [10] https://research.google/pubs/listening-with-googlears-low-latency-neural-multiframe-beamforming-and-equalization-for-hearing-aids/ [11] https://www.docwirenews.com/post/google-releases-two-new-apps-for-the-deaf-and-hearing-impaired [12] https://www.wired.com/story/cochlear-and-google-hearing-technology-coalition/ [13] https://belonging.google/in-products/disability-innovation/ [14] https://sorenson.com/blog/captioncall/the-best-hearing-loss-apps-of-2024/ [15] https://www.youtube.com/watch?v=unUZo5sfbxc [16] https://www.google.com/accessibility/initiatives-research/ [17] https://abilitynet.org.uk/news-blogs/9-useful-apps-people-who-are-ddeaf-or-have-hearing-loss [18] https://lagrandehearing.org/patient-resources/hearing-loss/googles-solution-to-hearing-loss-how-it-can-help-you/ [19] https://blog.google/outreach-initiatives/accessibility/impaired-speech-recognition/ [20] https://blog.google/outreach-initiatives/accessibility/googlers-building-accessible-technology/ # Google Sound Amplifier: A Comprehensive Analysis of Its Functions and Impact on Hearing Accessibility Google's Sound Amplifier represents a significant advancement in accessibility technology, leveraging Android's ecosystem to enhance auditory experiences for individuals with hearing impairments. This report examines the app's development, technical foundations, key features, usability, and broader implications for hearing accessibility. --- ## Development and Technological Foundations ### Origins and Research-Driven Design Sound Amplifier emerged from Google's commitment to inclusivity, aligning with its mission to "organize the world's information and make it universally accessible"[9][15]. The app was first introduced in 2018 as part of Android 9 Pie, with subsequent updates expanding compatibility to devices running Android 6.0 Marshmallow and later[7][9]. Its development involved analyzing thousands of hearing studies to address diverse auditory needs, particularly in noisy environments[9][17]. ### Dynamics Processing Effect API At its core, Sound Amplifier utilizes Android's Dynamics Processing Effect, a four-stage audio architecture: 1. Citations: [1] https://www.youtube.com/watch?v=6Fknku1knmc [2] https://mcmw.abilitynet.org.uk/how-to-use-your-device-as-a-hearing-aid-with-sound-amplifier-in-android-13 [3] https://www.youtube.com/watch?v=_hPlNoF1Tyc [4] https://www.diglo.com/trihear-convo-hearing-amplifier-with-remote-microphone;sku=TRI-CONVO;s=121;p=TRI-CONVO [5] https://www.ucdenver.edu/centers/center-for-inclusive-design-and-engineering/community-engagement/colorado-assistive-technology-act-program/technology-and-transition-to-employment/new-in-at/at-updates/google-beta-testing-conversation-mode-for-sound-amplifier [6] https://support.google.com/accessibility/android/answer/9157755 [7] https://www.theverge.com/2019/7/24/20708608/google-sound-amplifier-accessibilities-android-6-marshmallow-support-expansion-how-to [8] https://play.google.com/store/apps/details?id=com.google.android.accessibility.soundamplifier [9] https://blog.google/products/android/sound-amplifier-more-people-can-hear-clearly/ [10] https://www.reddit.com/r/GooglePixel/comments/lcqox7/what_does_sound_amplifier_do_on_the_pixel/ [11] https://apps.apple.com/us/app/sound-amplifier/id1615079093 [12] https://www.android.com/accessibility/audio/ [13] https://pixel.gadgethacks.com/how-to/hear-conversations-better-with-pixels-updated-sound-amplifier-0384928/ [14] https://www.androidcentral.com/apps-software/how-to-use-google-sound-amplifier-app [15] https://blog.google/outreach-initiatives/accessibility/making-audio-more-accessible-two-new-apps/ [16] https://mcmw.abilitynet.org.uk/how-to-use-your-device-as-a-hearing-aid-with-sound-amplifier-in-android-12 [17] https://www.hearingtracker.com/news/google-sound-amplifier [18] https://support.google.com/accessibility/android/answer/9157755 [19] https://www.androidcentral.com/apps-software/how-to-use-google-sound-amplifier-app [20] https://www.techrepublic.com/article/how-to-use-the-android-sound-amplifier-app/ [21] https://accessibility.baesystems.com/using-your-device-hearing-aid-sound-amplifier-android-10 [22] https://www.affordablevideomagnifiers.com/trihear-convo-hearing-amplifier-with-remote-microphone/ [23] https://support.google.com/pixelphone/answer/7539047 [24] https://en.wikipedia.org/wiki/Sound_Amplifier [25] https://www.realme.com/in/support/kw/doc/2082927 [26] https://forum.fxsound.com/t/suggestion-db-boost-aka-a-amplification-slider-for-fx-sound/2339 [27] https://forum.hearingtracker.com/t/le-audio-enables-sound-amplifier-remote-microphone-functionality/94017 [28] https://www.youtube.com/watch?v=Sp9XzNOXdtw [29] https://www.android.com/accessibility/audio/ [30] https://play.google.com/store/apps/datasafety?id=com.google.android.accessibility.soundamplifier [31] https://forum.hearingtracker.com/t/google-amplifier-app-not-working-with-my-bluetooth-hearing-aids/90360 [32] https://chromewebstore.google.com/detail/volume-booster/ejkiikneibegknkgimmihdpcbcedgmpo [33] https://support.google.com/accessibility/android/answer/10092548 [34] https://www.reddit.com/r/HearingAids/comments/15wkk43/voice_and_sound_amplifier_app_to_android/ [35] https://play.google.com/store/apps/details?id=herclr.frmdist.bstsnd [36] https://www.youtube.com/watch?v=6Fknku1knmc [37] https://mcmw.abilitynet.org.uk/how-to-use-your-device-as-a-hearing-aid-with-sound-amplifier-in-android-12 [38] https://sound-amplifier.en.uptodown.com/android # Developing a Next-Generation Hearing Enhancement App: Feature Recommendations Based on Current Technological Advancements Recent advancements in AI, edge computing, and wearable technologies present unprecedented opportunities for developing sophisticated hearing enhancement applications. This report analyzes emerging capabilities across multiple domains to propose 12 innovative features for a next-generation app, supported by insights from 20 recent research papers and commercial implementations. --- ## Core Audio Processing Enhancements ### Neural-Attention-Driven Speech Separation Building on Columbia University's cognitively controlled hearing aid system[2], modern apps should implement EEG-informed neural decoders to: - Predict users' auditory attention through embedded bio-sensors - Automatically amplify attended speakers in multi-talker environments - Suppress unattended speech streams using beamforming arrays This approach achieved 89% accuracy in speaker identification during validation trials[2], significantly outperforming traditional directionality-based systems. ### Hybrid AI Noise Suppression Architecture Combining Widex's cloud-based sound profiling[4] with IRIS Audio's bidirectional voice isolation[15], an ideal system would: 1. Use federated learning to create personalized noise profiles 2. Apply differential privacy techniques during model training[11] 3. Implement real-time spectral subtraction for 35dB noise reduction[17] Testing shows this architecture maintains <150ms latency while reducing cocktail party noise by 82% compared to baseline[15]. --- ## Advanced Connectivity Protocols ### Bluetooth LE Audio Integration Adopting the new Bluetooth LE standard enables[8]: - 32-bit/384kHz audio streaming to hearing devices - Multi-stream connectivity with 5ms latency - Broadcast audio for public venue integration Field tests demonstrate 60% power savings compared to classic Bluetooth implementations[8], crucial for all-day wearables. ### Augmented Reality Audio Bridging Leveraging PMC research on AR hearing platforms[9], developers should: - Implement head-related transfer function (HRTF) personalization - Create spatial audio maps using smartphone LiDAR sensors - Enable visual-auditory scene analysis through camera integration This approach improved speech reception thresholds by 7.2dB in complex environments during controlled trials[9]. --- ## Intelligent User Assistance Features ### Context-Aware Sound Classification Expanding Audiority's environmental detection model[18], next-gen apps could: - Identify 150+ critical sounds through CNN architectures - Provide haptic alerts for danger signatures (gunshots, horns) - Log geo-tagged sound events for urban planning integration Current implementations achieve 90.7% classification accuracy for emergency vehicle sirens[18]. ### Real-Time Multilingual Translation Incorporating ScreenApp's speech processing pipeline[5] enables: - 50-language translation with 950ms latency - Accent-preserving voice conversion using VALL-E X models - Cultural nuance detection through LLM integration User studies show 89% comprehension rates in medical consultation scenarios[14]. --- ## Accessibility and Health Integration ### Multi-Modal Feedback System Combining Microsoft's Hearing AI visualization[6] with Apple's haptic engine[10]: - Convert soundscapes into vibrational patterns - Display speech amplitude through dynamic typography - Provide cochlear implant optimization presets Early adopters report 40% reduction in listening effort scores[6]. ### Hearing Health Monitoring Building on Signia's self-tuning algorithms[7], new apps could: - Track auditory fatigue through voice analysis - Detect ototoxic medication impacts via frequency sensitivity tests - Generate HL progression reports for clinicians Pilot data shows 92% correlation with pure-tone audiometry results[7]. --- ## Technical Implementation Considerations ### Edge-AI Optimization Techniques Per Dialzara's privacy guidelines[11], developers must: - Quantize models to <5MB for on-device execution - Implement homomorphic encryption for voice data - Use federated learning for population-level improvements Benchmarks show 18ms inference times on Snapdragon 8 Gen 3 platforms[11]. ### Cross-Platform Compatibility Framework Adopting MIT Solve's accessibility standards[19] requires: - Unified API for 150+ hearing aid models - Android/iOS core with Flutter framework - WebAssembly module for browser integration Current prototypes achieve 98% code reuse across platforms[19]. --- ## Conclusion The proposed feature set leverages cutting-edge research in neural interfaces[2], spatial computing[9], and privacy-preserving AI[11] to create a transformative hearing enhancement platform. Implementation priorities should focus on hybrid cloud-edge architectures[15][19] and multimodal feedback systems[6][10], which show particular promise for real-world usability. Future development must address battery optimization challenges[13] while maintaining strict HIPAA/GDPR compliance through techniques like federated learning[11]. Commercial viability analysis suggests a 12-18 month development timeline could capture 35% of the $7.8B assistive listening device market. Citations: [1] https://play.google.com/store/apps/details?id=ainoiseremover.audiovideonoisereduce.removenoice [2] https://inventions.techventures.columbia.edu/technologies/speech-separation--CU23134 [3] https://pmc.ncbi.nlm.nih.gov/articles/PMC3791412/ [4] https://www.widexpro.com/en-us/local/en-us/press/my-sound-ai-enabled-feature-for-personalization/ [5] https://screenapp.io/features/audio-translator [6] https://www.microsoft.com/en-us/garage/profiles/hearing-ai/ [7] https://www.signia.net/en-gb/connectivity/signia-app/ [8] https://hearingreview.com/hearing-products/accessories/assistive-technologies/bluetooth-le-audio [9] https://pmc.ncbi.nlm.nih.gov/articles/PMC7676615/ [10] https://apps.apple.com/us/app/haptic-testing-developer-tool/id6705123515 [11] https://dialzara.com/blog/privacy-preserving-ai-techniques-for-edge-devices/ [12] https://hearingloss.ca/hearing-aids/smart-wearable-hearing-devices/ [13] https://www.youtube.com/watch?v=M5i6lD9zAXE [14] https://www.reddit.com/r/singularity/comments/12foqsp/what_is_the_best_current_real_time_voice/ [15] https://iris.audio/blog/5-best-noise-cancelling-apps [16] https://hearingsolutionstc.com/how-ai-is-improving-hearing-aid-performance/ [17] https://apps.apple.com/ae/app/ai-noise-reducer-enhance-audio/id6739932302 [18] https://solve.mit.edu/challenges/solv-ed-youth-innovation-challenge-2/solutions/68637 [19] https://apps.apple.com/eg/app/clear-hearing-ai-noise-remover/id6476435772 [20] https://pmc.ncbi.nlm.nih.gov/articles/PMC8463125/ [21] https://krisp.ai [22] https://www.lalal.ai/voice-cleaner/ [23] https://www.eriksholm.com/projects/deep-neural-networks-for-speaker-separation-and-speech-enhancement/ [24] https://support.apple.com/en-ae/102596 [25] https://fastercapital.com/topics/personalized-hearing-aid-fitting-with-ai.html [26] https://www.reddit.com/r/singularity/comments/12foqsp/what_is_the_best_current_real_time_voice/ [27] https://heardthat.ai [28] https://pmc.ncbi.nlm.nih.gov/articles/PMC4111459/ [29] https://support.apple.com/en-ae/guide/airpods/dev00eb7e0a3/web [30] https://siouxlandhearing.com/how-ai-is-revolutionizing-personalized-hearing-care/ [31] https://www.interprefy.com/solutions/event-ai-speech-translator [32] https://krisp.ai/noise-cancellation/ [33] https://elehear.com/blogs/all/how-ai-hearing-aids-can-adapt-to-different-environments-automatically [34] https://www.audibel.com/hearing-technology/ai-hearing-aid-apps-overview/ [35] https://www.hearingaid.org.uk/hearing-aids/digital/hearing-aid-apps [36] https://www.soundguys.com/bluetooth-le-audio-lc3-explained-28192/ [37] https://www.sacredheart.edu/offices--departments-directory/audiology-clinic/hearing-aids/assistive-listening-devices/ [38] https://mimi.io/blog-sound-personalization-its-all-about-you [39] https://audiologyblog.phonakpro.com/autosense-os-powered-by-ai-to-improve-the-listening-experience/ [40] https://apps.apple.com/gb/app/hearing-aid-hearing-aid-app/id816133779 [41] https://www.einfochips.com/blog/le-audio-the-future-of-audio-connectivity/ [42] https://www.asha.org/public/hearing/hearing-assistive-technology/ [43] https://forum.hearingtracker.com/t/ai-and-custom-ear-molds/97848 [44] https://www.hearingtracker.com/resources/ai-in-hearing-aids-a-review-of-brands-and-models [45] https://play.google.com/store/apps/details?id=erfanrouhani.hapticfeedback [46] https://sharkbyte.ca/haptic-feedback-why-your-app-needs-it-and-how-to-use-it/ [47] https://www.cs.wm.edu/~liqun/paper/book-privacy-21.pdf [48] https://valencell.com/news/making-biometrics-universal-in-hearables-and-hearing-health/ [49] https://apps.apple.com/us/app/care-device-optimize-battery/id6736824783 [50] https://www.audibel.com/hearing-technology/hearing-aids-with-language-translation/ [51] https://play.google.com/store/apps/details?id=com.widex.dchip [52] https://www.techmonitor.ai/privacy-and-data-protection/privacy-on-the-edge-why-edge-computing-is-a-double-edged-sword-for-privacy/ [53] https://www.team-consulting.com/insights/earables-unlocking-the-future-of-wearable-health-monitoring/ [54] https://www.youtube.com/watch?v=zCqOzQjQ97Q [55] https://www.starkey.com/blog/articles/2018/10/Livio-AI-translation-tool [56] https://www.hearingtracker.com/resources/10-best-hearing-loss-apps-for-smartphones [57] https://fastercapital.com/keyword/customized-amplification-profiles.html [58] https://sorenson.com/blog/captioncall/the-best-hearing-loss-apps-of-2024/ [59] https://apps.apple.com/us/app/haptic-haven/id1523772947 [60] https://haptic-feedback.en.uptodown.com/android To develop a web-based hearing enhancement app using microphone input and audio output, consider these technical implementations and features based on Google Sound Amplifier's functionality and modern web capabilities: ## Core Architecture 1. **Web Audio API Integration** - Use `getUserMedia()` for microphone access (requires HTTPS) - Create audio processing graph with: ```javascript const context = new AudioContext(); const source = context.createMediaStreamSource(stream); const processor = context.createScriptProcessor(1024,1,1); ``` - Implement real-time processing with <150ms latency target 2. **Modular Audio Processing** - Noise reduction using WebAssembly-compiled RNNoise model - Parametric equalizer with IIR filters: ```javascript context.createIIRFilter(frequencyHz, Q, gaindB); ``` - Dynamic range compression via WaveShaperNode ## Key Features to Implement | Feature | Technical Approach | Reference Inspiration | |--------------------------|---------------------------------------------|-----------------------| | Adaptive Noise Reduction | WebAssembly ML model + spectral subtraction |[1][3][4] | | Frequency Balancing | Multi-band IIR filter bank |[1][4][5] | | Audio Visualization | Canvas API + FFT analysis |[3] | | Preset Profiles | IndexedDB storage + JSON configurations |[4][5] | ## Critical Considerations 1. **Latency Management** - Test with `context.outputLatency` property - Implement buffer size optimization (256-1024 samples) - Warn users about Bluetooth latency issues[2][5] 2. **Browser Compatibility** - Feature detection for: ```javascript if (!('AudioContext' in window)) { alert('Web Audio API not supported'); } ``` - Polyfill for Safari using webkit prefixes 3. **Privacy Protection** - Client-side processing only - No server communication for audio data - Clear permissions disclosure per GDPR ## Advanced Capabilities 1. **Web Bluetooth Integration** ```javascript navigator.bluetooth.requestDevice({ filters: [{ services: ['generic_access'] }] }); ``` - Experimental hearing aid support (ASHA protocol) 2. **WebAssembly Accelerated Processing** - Port noise reduction algorithms to WASM - Achieve native-speed performance 3. **PWA Features** - Offline functionality with Service Workers - Install prompt for app-like experience - Background audio processing support ## Development Checklist - [ ] Implement core audio pipeline with Web Audio API - [ ] Add adjustable sliders for boost/noise reduction[1][4] - [ ] Create visual feedback system[3] - [ ] Test across Chrome/Firefox/Edge mobile browsers - [ ] Add latency compensation controls[2] - [ ] Develop battery optimization strategies This architecture enables cross-platform accessibility while maintaining key features from native apps like Sound Amplifier[1][3][4]. Prioritize Web Audio API stability and progressive enhancement for broader device support. Citations: [1] https://support.google.com/accessibility/android/answer/9157755 [2] https://forum.hearingtracker.com/t/mobile-as-remote-microphone/80258 [3] https://www.hearingtracker.com/resources/10-best-hearing-loss-apps-for-smartphones [4] https://abilitynet.org.uk/news-blogs/apps-and-gadgets-help-mild-moderate-hearing-loss [5] https://mcmw.abilitynet.org.uk/how-to-use-your-device-as-a-hearing-aid-with-sound-amplifier-in-android-13 [6] https://play.google.com/store/apps/details?id=com.ronasoftstudios.earmaxfxpro [7] https://play.google.com/store/apps/details?id=com.google.android.accessibility.soundamplifier [8] https://www.sennheiser.com/en-ae/product-families/mobileconnect [9] https://www.medel.com/hearing-solutions/accessories/connectivity/audiolink [10] https://pmc.ncbi.nlm.nih.gov/articles/PMC8434896/ [11] https://hearing-aid-microphone.en.softonic.com/android [12] https://www.audibel.com/hearing-technology/ai-hearing-aid-apps-overview/ [13] https://abilitynet.org.uk/news-blogs/9-useful-apps-people-who-are-ddeaf-or-have-hearing-loss [14] https://www.theengineer.co.uk/content/news/free-app-turns-phone-into-a-hearing-aid/ [15] https://support.apple.com/en-us/111777 [16] https://mimi.io/mimi-hearing-test-app [17] https://speak-see.com [18] https://forum.hearingtracker.com/t/websites-playing-silent-audio-to-my-hearing-aids/89091 [19] https://apps.apple.com/us/app/hear-boost-recording-ear-aid/id1437159134 [20] https://www.phonak.com/en-int/hearing-devices/apps/myrogermic Here's an analysis of modern web audio libraries and methodologies for hearing enhancement apps, focusing on 2025 advancements: ## Next-Gen Web Audio Technologies ### AI-Driven Processing 1. **Audo AI SDK** ([7]) - Real-time neural noise suppression - Browser-based WebAssembly implementation - 200ms end-to-end latency ```javascript import {AudoNoiseSuppression} from '@audoai/web-sdk'; const processor = new AudoNoiseSuppression(); ``` 2. **WebNN Integration** - Native browser neural network API - On-device ML models for audio enhancement - Compatible with TensorFlow.js models ### Modern Web Audio Architectures | Technology | Use Case | Performance | |---------------------|---------------------------|-----------------------| | WebAssembly SIMD | Real-time filtering | 4x speed vs vanilla JS| | AudioWorklet Nodes | Low-latency processing | B[WebAudio Input] B --> C[AudioWorklet] C --> D[WASM RNNoise] D --> E[WebNN Model] E --> F[Dynamic Range Compression] F --> G[WebAudio Output] ``` 2. **Key Dependencies** ```package.json { "dependencies": { "@webnn/core": "^3.0.0", "audioworklet-wasm-loader": "^2.4.0", "webgpu-audio": "^1.2.0", "spatial-audio-2025": "^5.1.0" } } ``` ## Performance Benchmarks - **Noise Reduction**: 42dB SNR improvement using hybrid RNNoise+WebNN[4][7] - **Latency**: 18ms round-trip with AudioWorklet+WASM[6] - **Energy Use**: 23% less CPU than traditional WebAudio graphs[3] These modern approaches leverage 2025 web platform capabilities while avoiding deprecated libraries. The shift towards native WebNN integration and hardware-accelerated audio processing through WebGPU represents the current state-of-the-art[1][3][6]. Citations: [1] https://github.com/notthetup/awesome-webaudio [2] https://www.hearingaid.com.pk/the-future-of-hearing-innovations-and-technologies/ [3] https://strapi.io/blog/web-development-trends [4] https://gcore.com/blog/noise-reduction-webrtc/ [5] https://www.articlemarket.org/top-5-voice-apis-every-developer-should-try-in-2025/ [6] https://developer.mozilla.org/en-US/docs/Web/API/Web_Audio_API [7] https://blog.bitsrc.io/high-fidelity-web-audio-with-javascript-2e5fff0f071d [8] https://dev.to/areknawo/9-libraries-to-kickstart-your-web-audio-stuff-460p [9] https://slashdot.org/software/sound-libraries/saas/?page=2 [10] https://www.classcentral.com/subject/web-audio-api [11] https://chcare.com.au/blog/explore-modern-technology-enhancing-hearing-aids/ [12] https://imaginovation.net/blog/web-application-development-complete-guide/ [13] https://howlerjs.com [14] http://blog.lamatic.ai/guides/best-ai-apis/ [15] https://github.com/ircam-ismm/wac-2025 [16] https://nagish.com/post/latest-hearing-aid-technology [17] https://zapier.com/blog/best-audio-editor/ [18] https://www.restack.io/p/web-audio-processing-libraries-answer-best-libraries-audio-processing [19] https://moldstud.com/articles/p-maximize-html5-audio-and-video-with-web-apis-a-comprehensive-guide [20] https://www.elementary.audio ## Most Innovative Web Audio Libraries Available in 2025 Several web audio libraries stand out for their innovation, advanced features, and ability to leverage the latest browser technologies for audio processing and playback. Here are some of the most notable: ### 1. **Howler.js** - **Overview:** One of the most popular and reliable libraries for web audio, offering a simple API and robust cross-platform support. - **Innovative Features:** - Audio sprites for efficient audio management - Auto-caching and support for multiple codecs - Optional spatial effects plugin for 3D audio - Dolby audio playback support - **Use Cases:** Games, interactive websites, apps needing reliable sound playback[1][2][3]. ### 2. **Tone.js** - **Overview:** A powerful framework for creating interactive music and complex audio applications in the browser. - **Innovative Features:** - Advanced scheduling and timing for musical events - Synthesizers, effects, and audio routing - Modular and extensible for custom audio workflows - **Use Cases:** Music production tools, audio visualizations, educational apps[1]. ### 3. **Dolby.io** - **Overview:** A commercial-grade platform for real-time, studio-quality web audio. - **Innovative Features:** - High-fidelity audio streaming and conferencing - Built-in noise cancellation, spatial audio, loudness correction, and background hum removal - API access for integration into conferencing, live-streaming, and social apps - **Use Cases:** Professional audio apps, virtual classrooms, live events[2]. ### 4. **SoundJS** - **Overview:** Part of the CreateJS suite, focused on simplifying audio asset management and playback. - **Innovative Features:** - Cross-browser audio loading and playback - Audio sprites and integration with other CreateJS tools - **Use Cases:** Games, interactive media, asset-heavy web apps[1]. ### 5. **Virtual-Audio-Graph** - **Overview:** A declarative library for manipulating the Web Audio API. - **Innovative Features:** - Simplifies complex audio routing and node management - Enables dynamic audio graph creation and updates - **Use Cases:** Apps requiring dynamic and complex audio routing[4]. ### 6. **AudioWorklet & Web Audio API (Native)** - **Overview:** While not a library, the Web Audio API (with AudioWorklet support) is the foundation for custom, low-latency, real-time audio processing in modern browsers. - **Innovative Features:** - Direct access to audio streams for advanced DSP (digital signal processing) - Enables creation of custom audio nodes and effects[8]. --- ### **Summary Table** | Library/Platform | Key Innovations | Best For | |------------------------- |----------------------------------------|---------------------------------------| | Howler.js | 3D audio, audio sprites, Dolby support | General-purpose, interactive apps | | Tone.js | Synths, effects, music scheduling | Music creation, audio visualization | | Dolby.io | Studio-quality, noise cancellation | Professional, real-time audio | | SoundJS | Asset management, sprite support | Games, interactive content | | Virtual-Audio-Graph | Declarative audio graph management | Complex audio routing | | Web Audio API/AudioWorklet| Custom DSP, real-time processing | Advanced, low-level audio processing | --- **In conclusion:** For cutting-edge web audio development in 2025, libraries like Howler.js and Tone.js remain highly innovative for general and musical applications, while Dolby.io brings professional-grade processing to the browser. For developers needing deep customization, leveraging the Web Audio API with AudioWorklet or using Virtual-Audio-Graph offers maximum flexibility and performance[1][2][4][8]. Citations: [1] https://dev.to/areknawo/9-libraries-to-kickstart-your-web-audio-stuff-460p [2] https://blog.bitsrc.io/high-fidelity-web-audio-with-javascript-2e5fff0f071d [3] https://howlerjs.com [4] https://github.com/notthetup/awesome-webaudio [5] https://elfsight.com/blog/10-best-audio-players-for-website/ [6] https://sendshort.ai/guides/sfx-libraries/ [7] https://krotos.studio/blog/10-best-places-sound-effect-libraries [8] https://developer.mozilla.org/en-US/docs/Web/API/Web_Audio_API [9] https://www.reddit.com/r/gamedev/comments/1ifrs2p/best_sound_libraries_for_indie_developers/ [10] https://getsoundly.com
2
+ impliment the real function
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+ create an app that will show multiple json into a table by finding the similar labels and identify the data type and table it properly
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+ make it nest and list the variables