| # Annotation Parameters | |
| This document outlines the key parameters and aspects to be annotated within the voice notes dataset. Annotations are added progressively as part of the review process. | |
| ## Audio Quality | |
| - **Clarity**: How clear is the primary speaker's voice? | |
| - Options: [Very Clear, Clear, Somewhat Muffled, Muffled, Very Muffled] | |
| - **Background Noise Level**: The overall level of background noise. | |
| - Options: [None, Low, Moderate, High, Very High] | |
| - **Noise Type**: The type of background noise present. | |
| - Options: [None, Music, Crowd, Traffic, Nature, White Noise, Other (Specify)] | |
| - **Reverberation**: The level of echo or reverberation. | |
| - Options: [None, Low, Moderate, High] | |
| ## Speaker Characteristics | |
| - **Primary Speaker Dominance**: How much of the audio is dominated by the primary speaker? | |
| - Options: [>90%, 70-90%, 50-70%, 30-50%, <30%] | |
| - **Number of Speakers**: An estimate of how many distinct speakers are present. | |
| - Options: [1, 2, 3, 4, 5+] | |
| - **Speaker Overlap**: How much do speakers talk over each other? | |
| - Options: [None, Minimal, Moderate, Frequent] | |
| ## Transcription Quality | |
| - **AI Transcript Accuracy (Overall)**: A general assessment of the Voicenotes.com STT accuracy for the entire note. | |
| - Options: [Very High (>95%), High (90-95%), Moderate (80-90%), Low (70-80%), Very Low (<70%)] | |
| - **Specific Error Types**: Check all that apply. | |
| - [ ] Incorrect Words | |
| - [ ] Missed Words/Phrases | |
| - [ ] Added Words/Phrases | |
| - [ ] Punctuation Errors | |
| - [ ] Capitalization Errors | |
| - [ ] Speaker Labeling Errors (if multiple speakers) | |
| - **Difficult Segments**: Note timecodes of segments that are particularly difficult for STT. | |
| ## Context & Content | |
| - **Primary Topic**: The main subject of the voice note. | |
| - (Free text or predefined list based on your notes) | |
| - **Language**: The primary language of the audio. | |
| - (E.g., English, Spanish, etc.) | |
| - **Technical Jargon**: Is there specialized terminology? | |
| - Options: [None, Low, Moderate, High] | |
| ## Recording Details | |
| - **Recording Location**: General location where the note was recorded. | |
| - (Text field, default: Jerusalem) | |
| - **Recording Environment**: Whether the recording was made indoors or outdoors. | |
| - Options: [Indoor, Outdoor] | |
| - **Microphone Source**: The general source of the microphone used. | |
| - Options: [Phone Internal Mic, Bluetooth Mic, Desktop Mic] | |
| - **Microphone Type**: The specific type of microphone used. | |
| - Options: [Earpiece, Lavalier, Gooseneck, Desktop] | |
| ## Content Type | |
| - **Voice Note Content Type**: The primary purpose or type of content captured in the note. (Defined in `label_studio_config.xml`) | |
| - Options: | |
| - Blog Outline | |
| - Email Draft | |
| - Calendar Appointment | |
| - Note To Self | |
| - Reminder | |
| - Task List | |
| - Grocery List | |
| - Shopping List (Other) | |
| - Online Shopping | |
| - Stack Research | |
| - AI Prompt | |
| - System Prompt | |
| ## Annotation State | |
| - **Corrected**: Whether the AI transcript has been manually corrected. | |
| - Options: [Yes, No, Partially] | |
| - **Annotator Notes**: Any additional observations or comments. | |
| ## Auto-Computed Fields | |
| The following metrics will be automatically calculated and added to the dataset metadata: | |
| - **Run Time (of file)**: Duration of the audio file. | |
| - **Word Count (of transcript)**: Total number of words in the transcript. | |
| - **Character Count (of transcript)**: Total number of characters in the transcript. | |
| - **Word Error Rate (of original AI transcript)**: Calculated WER comparing the AI transcript to the corrected transcript. | |
| - **Estimated Speaker WPM**: Estimated words per minute for the primary speaker. | |
| - **Speaker WPM Classification**: Classification of speaker speed (1-5). | |
| - **Average dB Level**: Average decibel level of the audio. | |
| ## Related Datasets | |
| This dataset is part of a broader STT fine-tuning project that will produce multiple related datasets: | |
| - **Voice Note Audio** (this dataset): Public dataset on Hugging Face for real-world STT evaluation | |
| - **Basic STT Evaluation for Synthetic Voice Notes**: Complementary dataset for controlled evaluation scenarios |