Buckets:
| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Unit 6. From text to speech","local":"unit-6-from-text-to-speech","sections":[{"title":"What you’ll learn and what you’ll build","local":"what-youll-learn-and-what-youll-build","sections":[],"depth":2}],"depth":1}"> | |
| <link href="/docs/audio-course/pr_201/en/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/entry/start.367c4d78.js"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/chunks/scheduler.f7e1785c.js"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/chunks/singletons.0d70d4cc.js"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/chunks/index.279db187.js"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/chunks/paths.274f629d.js"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/entry/app.4c54ebf9.js"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/chunks/index.9f8f0838.js"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/nodes/0.e329f606.js"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/chunks/each.e59479a4.js"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/nodes/39.22e5b2c2.js"> | |
| <link rel="modulepreload" href="/docs/audio-course/pr_201/en/_app/immutable/chunks/EditOnGithub.5a9bb8c5.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Unit 6. From text to speech","local":"unit-6-from-text-to-speech","sections":[{"title":"What you’ll learn and what you’ll build","local":"what-youll-learn-and-what-youll-build","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="unit-6-from-text-to-speech" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#unit-6-from-text-to-speech"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Unit 6. From text to speech</span></h1> <p data-svelte-h="svelte-ivblhn">In the previous unit, you learned how to use Transformers to convert spoken speech into text. Now let’s flip the | |
| script and see how you can transform a given input text into an audio output that sounds like human speech.</p> <p data-svelte-h="svelte-7nvptx">The task we will study in this unit is called “Text-to-speech” (TTS). Models capable of converting text into audible | |
| human speech have a wide range of potential applications:</p> <ul data-svelte-h="svelte-xwfueb"><li>Assistive apps: think about tools that can leverage these models to enable visually-impaired people to access digital content through the medium of sound.</li> <li>Audiobook narration: converting written books into audio form makes literature more accessible to individuals who prefer to listen or have difficulty with reading.</li> <li>Virtual assistants: TTS models are a fundamental component of virtual assistants like Siri, Google Assistant, or Amazon Alexa. Once they have used a classification model to catch the wake word, and used ASR model to process your request, they can use a TTS model to respond to your inquiry.</li> <li>Entertainment, gaming and language learning: give voice to your NPC characters, narrate game events, or help language learners with examples of correct pronunciation and intonation of words and phrases.</li></ul> <p data-svelte-h="svelte-5lykth">These are just a few examples, and I am sure you can imagine many more! However, with so much power comes the responsibility, | |
| and it is important to highlight that TTS models have the potential to be used for malicious purposes. | |
| For example, with sufficient voice samples, malicious actors could potentially create convincing fake audio recordings, leading to | |
| the unauthorized use of someone’s voice for fraudulent purposes or manipulation. If you plan to collect data for fine-tuning | |
| your own systems, carefully consider privacy and informed consent. Voice data should be obtained with explicit consent | |
| from individuals, ensuring they understand the purpose, scope, and potential risks associated with their voice being used | |
| in a TTS system. Please use text-to-speech responsibly.</p> <h2 class="relative group"><a id="what-youll-learn-and-what-youll-build" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#what-youll-learn-and-what-youll-build"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>What you’ll learn and what you’ll build</span></h2> <p data-svelte-h="svelte-1bx1oe2">In this unit we will talk about:</p> <ul data-svelte-h="svelte-14n9psg"><li><a href="tts_datasets">Datasets suitable for text-to-speech training</a></li> <li><a href="pre-trained_models">Pre-trained models for text-to-speech</a></li> <li><a href="fine-tuning">Fine-tuning SpeechT5 on a new language</a></li> <li><a href="evaluation">Evaluating TTS models</a></li></ul> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/audio-transformers-course/blob/main/chapters/en/chapter6/introduction.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p> | |
| <script> | |
| { | |
| __sveltekit_yq3w38 = { | |
| assets: "/docs/audio-course/pr_201/en", | |
| base: "/docs/audio-course/pr_201/en", | |
| env: {} | |
| }; | |
| const element = document.currentScript.parentElement; | |
| const data = [null,null]; | |
| Promise.all([ | |
| import("/docs/audio-course/pr_201/en/_app/immutable/entry/start.367c4d78.js"), | |
| import("/docs/audio-course/pr_201/en/_app/immutable/entry/app.4c54ebf9.js") | |
| ]).then(([kit, app]) => { | |
| kit.start(app, element, { | |
| node_ids: [0, 39], | |
| data, | |
| form: null, | |
| error: null | |
| }); | |
| }); | |
| } | |
| </script> | |
Xet Storage Details
- Size:
- 7.97 kB
- Xet hash:
- 08b499c1827c2a607065a624ac7c9751c130ca9e0528cc9c2be0dae215a0ea51
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.