Shypd.aiThe largest open index of AI toolsdla is an open-source deep learning resource for audio processing, providing lecture and seminar materials. It offers comprehensive course content on topics like speech recognition, source separation, and neural audio codecs.
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dla is an open-source project offering extensive deep learning materials specifically tailored for audio processing. It provides lecture and seminar content covering a wide array of topics, including digital signal processing, automatic speech recognition (ASR), source separation, text-to-speech (TTS), neural audio codecs, and voice biometry. The repository includes practical exercises and project templates, making it suitable for both theoretical learning and hands-on implementation. Originally conducted at the CS Faculty of HSE, the course materials are organized by week, with some lecture recordings available in English. It serves as a valuable educational resource for students and researchers interested in the application of deep learning to audio.
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