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| <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":"Welcome to the Hugging Face Audio course!","local":"welcome-to-the-hugging-face-audio-course","sections":[{"title":"Meet the course team","local":"meet-the-course-team","sections":[],"depth":2},{"title":"Course structure","local":"course-structure","sections":[],"depth":2},{"title":"Learning paths and certification","local":"learning-paths-and-certification","sections":[],"depth":2},{"title":"Sign up to the course","local":"sign-up-to-the-course","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="welcome-to-the-hugging-face-audio-course" 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="#welcome-to-the-hugging-face-audio-course"><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>Welcome to the Hugging Face Audio course!</span></h1> <p data-svelte-h="svelte-5uvv1z">Dear learner,</p> <p data-svelte-h="svelte-mwfsep">Welcome to this course on using transformers for audio. Time and again transformers have proven themselves as one of the | |
| most powerful and versatile deep learning architectures, capable of achieving state-of-the-art results in a wide range of | |
| tasks, including natural language processing, computer vision, and more recently, audio processing.</p> <p data-svelte-h="svelte-rzefl8">In this course, we will explore how transformers can be applied to audio data. You’ll learn how to use them to tackle a | |
| range of audio-related tasks. Whether you are interested in speech recognition, audio classification, or generating speech | |
| from text, transformers and this course have got you covered.</p> <p data-svelte-h="svelte-1c77kil">To give you a taste of what these models can do, say a few words in the demo below and watch the model transcribe it in real-time!</p> <iframe src="https://openai-whisper.hf.space" frameborder="0" width="850" height="450" data-svelte-h="svelte-sv748y"></iframe> <p data-svelte-h="svelte-186k5aj">Throughout the course, you will gain an understanding of the specifics of working with audio data, you’ll learn about different | |
| transformer architectures, and you’ll train your own audio transformers leveraging powerful pre-trained models.</p> <p data-svelte-h="svelte-cf92mw">This course is designed for learners with a background in deep learning, and general familiarity with transformers. | |
| No expertise in audio data processing is required. If you need to brush up on your understanding of transformers, check out | |
| our <a href="https://huggingface.co/course/chapter1/1" rel="nofollow">NLP Course</a> that goes into much detail on the transformer basics.</p> <h2 class="relative group"><a id="meet-the-course-team" 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="#meet-the-course-team"><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>Meet the course team</span></h2> <p data-svelte-h="svelte-1owasxi"><strong>Sanchit Gandhi, Machine Learning Research Engineer at Hugging Face</strong></p> <p data-svelte-h="svelte-nxmvni">Hi! I’m Sanchit and I’m a machine learning research engineer for audio in the open-source team at Hugging Face 🤗. | |
| My primary focus is automatic speech recognition and translation, with the current goal of making speech models faster, | |
| lighter and easier to use.</p> <p data-svelte-h="svelte-pp2gt5"><strong>Matthijs Hollemans, Machine Learning Engineer at Hugging Face</strong></p> <p data-svelte-h="svelte-14tsi7a">I’m Matthijs, and I’m a machine learning engineer for audio in the open source team at Hugging Face. I’m also the author | |
| of a book on how to write sound synthesizers, and I create audio plug-ins in my spare time.</p> <p data-svelte-h="svelte-7xtmli"><strong>Maria Khalusova, Documentation & Courses at Hugging Face</strong></p> <p data-svelte-h="svelte-1vobe52">I’m Maria, and I create educational content and documentation to make Transformers and other open-source tools even more | |
| accessible. I break down complex technical concepts and help folks get started with cutting-edge technologies.</p> <p data-svelte-h="svelte-1hddh27"><strong>Vaibhav Srivastav, ML Developer Advocate Engineer at Hugging Face</strong></p> <p data-svelte-h="svelte-1a9pqel">I’m Vaibhav (VB) and I’m a Developer Advocate Engineer for Audio in the Open Source team at Hugging Face. I research | |
| low-resource Text to Speech and help bring SoTA speech research to the masses.</p> <h2 class="relative group"><a id="course-structure" 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="#course-structure"><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>Course structure</span></h2> <p data-svelte-h="svelte-1swxprm">The course is structured into several units that covers various topics in depth:</p> <ul data-svelte-h="svelte-ti75wq"><li><a href="https://huggingface.co/learn/audio-course/chapter1" rel="nofollow">Unit 1</a>: learn about the specifics of working with audio data, including audio processing techniques and data preparation.</li> <li><a href="https://huggingface.co/learn/audio-course/chapter2" rel="nofollow">Unit 2</a>: get to know audio applications and learn how to use 🤗 Transformers pipelines for different tasks, such as | |
| audio classification and speech recognition.</li> <li><a href="https://huggingface.co/learn/audio-course/chapter3" rel="nofollow">Unit 3</a>: explore audio transformer architectures, learn how they differ, and what tasks they are best suited for.</li> <li><a href="https://huggingface.co/learn/audio-course/chapter4" rel="nofollow">Unit 4</a>: learn how to build your own music genre classifier.</li> <li><a href="https://huggingface.co/learn/audio-course/chapter5" rel="nofollow">Unit 5</a>: delve into speech recognition and build a model to transcribe meeting recordings.</li> <li><a href="https://huggingface.co/learn/audio-course/chapter6" rel="nofollow">Unit 6</a>: learn how to generate speech from text.</li> <li><a href="https://huggingface.co/learn/audio-course/chapter7" rel="nofollow">Unit 7</a>: learn how to build real-world audio applications with transformers.</li></ul> <p data-svelte-h="svelte-17cs643">Each unit includes a theoretical component, where you will gain a deep understanding of the underlying concepts and | |
| techniques. Throughout the course, we provide quizzes to help you test your knowledge and reinforce your learning. | |
| Some chapters also include hands-on exercises, where you will have the opportunity to apply what you have learned.</p> <p data-svelte-h="svelte-m25bt4">By the end of the course, you will have a strong foundation in using transformers for audio data and will be | |
| well-equipped to apply these techniques to a wide range of audio-related tasks.</p> <p data-svelte-h="svelte-qbzsls">The course units will be released in several consecutive blocks with the following publishing schedule:</p> <table data-svelte-h="svelte-11ezg62"><thead><tr><th>Units</th> <th>Publishing date</th></tr></thead> <tbody><tr><td>Unit 0, Unit 1, and Unit 2</td> <td>June 14, 2023</td></tr> <tr><td>Unit 3, Unit 4</td> <td>June 21, 2023</td></tr> <tr><td>Unit 5</td> <td>June 28, 2023</td></tr> <tr><td>Unit 6</td> <td>July 5, 2023</td></tr> <tr><td>Unit 7, Unit 8</td> <td>July 12, 2023</td></tr></tbody></table> <h2 class="relative group"><a id="learning-paths-and-certification" 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="#learning-paths-and-certification"><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>Learning paths and certification</span></h2> <p data-svelte-h="svelte-e8r2h6">There is no right or wrong way to take this course. All the materials in this course are 100% free, public and open-source. | |
| You can take the course at your own pace, however, we recommend going through the units in their order.</p> <p data-svelte-h="svelte-1qcmmfy">If you’d like to get certified upon the course completion, we offer two options:</p> <table data-svelte-h="svelte-8ju76u"><thead><tr><th>Certificate type</th> <th>Requirements</th></tr></thead> <tbody><tr><td>Certificate of completion</td> <td>Complete 80% of the hands-on exercises according to instructions.</td></tr> <tr><td>Certificate of honors</td> <td>Complete 100% of the hands-on exercises according to instructions.</td></tr></tbody></table> <p data-svelte-h="svelte-m499en">Each hands-on exercise outlines its completion criteria. Once you have completed enough hands-on exercises to qualify | |
| for either of the certificates, refer to the last unit of the course to learn how you can get your certificate. Good luck!</p> <h2 class="relative group"><a id="sign-up-to-the-course" 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="#sign-up-to-the-course"><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>Sign up to the course</span></h2> <p data-svelte-h="svelte-1vc4d5x">The units of this course will be released gradually over the course of a few weeks. We encourage you to sign up to the | |
| course updates so that you don’t miss new units when they are released. Learners who sign up to the course updates will | |
| also be the first ones to learn about special social events that we plan to host.</p> <p data-svelte-h="svelte-1hxp1hw"><a href="http://eepurl.com/insvcI" rel="nofollow">SIGN UP</a></p> <p data-svelte-h="svelte-1bw2gm8">Enjoy the course!</p> <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/chapter0/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> | |
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