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November 19th, 2023 | StyleTTS2 – open-source Eleven-Labs-quality Text To Speech
Nov 20, 2023
The podcast discusses topics such as improving speech naturalness with style diffusion and adversarial training, the complexity of machine learning, Handbrake video transcoding software, and a sci-fi RTS game. It also covers issues like Python changes, data visualization pitfalls, and the return of OpenAI's CEO. Additionally, it explores the QUTI AI research lab in Paris, the debate on open source software, and reflections on remote work pros and cons.
18:37
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Quick takeaways
- StyleTTS2 is an open-source project that improves speech naturalness using pre-trained speech-language models and has achieved higher scores than human recordings on data sets.
- The deep learning course created by Francois Flooray covers topics such as tensor operations, automatic differentiation, and attention models, and is considered intense but accessible with prerequisite knowledge in linear algebra, probability, calculus, and basic programming.
Deep dives
Advancements in Human-like Text-to-Speech Synthesis with Style TDS2
The podcast explores the development of human-like text-to-speech synthesis with style TDS2. Style TDS2 is an open-source project that utilizes pre-trained speech-language models like WAVELM to improve speech naturalness. It has achieved higher scores than human recordings on single-speaker and multi-speaker data sets. The discussion in the comments primarily focuses on the capabilities, issues, and future improvements of a voice chatbot made with style TDS2, including conversation nuances like interruptions and recognizing when the user has finished speaking.
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