Hacker News
- Silero V3: fast high-quality text-to-speech in 20 languages with 173 voices https://github.com/snakers4/silero-models 97 comments
- Russian hackers share their ASR models better than Google? https://github.com/snakers4/silero-models 2 comments
Linking pages
- Modern Google-level STT Models Released / Habr https://habr.com/en/post/519562/ 10 comments
- Silero Speech-To-Text Models | PyTorch https://pytorch.org/hub/snakers4_silero-models_stt/ 9 comments
- GitHub - snakers4/silero-vad: Silero VAD: pre-trained enterprise-grade Voice Activity Detector https://github.com/snakers4/silero-vad 2 comments
- High-Quality Text-to-Speech Made Accessible, Simple and Fast / Хабр https://habr.com/ru/post/549482/ 2 comments
- GitHub - amrzv/awesome-colab-notebooks: Collection of google colaboratory notebooks for fast and easy experiments https://github.com/amrzv/awesome-colab-notebooks 0 comments
- GitHub - egorsmkv/speech-recognition-uk: Speech Recognition for Ukrainian https://github.com/egorsmkv/speech-recognition-uk 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
- GitHub - febinsathar/goodreads: goodreads https://github.com/febinsathar/goodreads 0 comments
Linked pages
- A Speech-To-Text Practitioner’s Criticisms of Industry and Academia https://thegradient.pub/a-speech-to-text-practitioners-criticisms-of-industry-and-academia/ 53 comments
- One Voice Detector to Rule Them All https://thegradient.pub/one-voice-detector-to-rule-them-all/ 10 comments
- Towards an ImageNet Moment for Speech-to-Text https://thegradient.pub/towards-an-imagenet-moment-for-speech-to-text/ 10 comments
- Modern Google-level STT Models Released / Habr https://habr.com/en/post/519562/ 10 comments
- Silero Speech-To-Text Models | PyTorch https://pytorch.org/hub/snakers4_silero-models_stt/ 9 comments
- High-Quality Text-to-Speech Made Accessible, Simple and Fast / Хабр https://habr.com/ru/post/549482/ 2 comments
- Quality Benchmarks · snakers4/silero-models Wiki · GitHub https://github.com/snakers4/silero-models/wiki/Quality-Benchmarks#en-v1 0 comments