- [R] Google Brain Sets New Semi-Supervised Learning SOTA in Speech Recognition http://www.openslr.org/12/ 4 comments compsci
Linking pages
- DeepSpeech 0.6: Mozilla's Speech-to-Text Engine Gets Fast, Lean, and Ubiquitous - Mozilla Hacks - the Web developer blog https://hacks.mozilla.org/2019/12/deepspeech-0-6-mozillas-speech-to-text-engine/ 99 comments
- GitHub - Picovoice/speech-to-text-benchmark: speech to text benchmark framework https://github.com/Picovoice/stt-benchmark 64 comments
- 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
- AI language models can exceed PNG and FLAC in lossless compression, says study | Ars Technica https://arstechnica.com/information-technology/2023/09/ai-language-models-can-exceed-png-and-flac-in-lossless-compression-says-study/ 44 comments
- GitHub - buriburisuri/speech-to-text-wavenet: Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow https://github.com/buriburisuri/speech-to-text-wavenet 42 comments
- A 2019 Guide for Automatic Speech Recognition | by Derrick Mwiti | Heartbeat https://heartbeat.fritz.ai/a-2019-guide-for-automatic-speech-recognition-f1e1129a141c 36 comments
- GitHub - edobashira/speech-language-processing: A curated list of speech and natural language processing resources https://github.com/edobashira/speech-language-processing 27 comments
- Sharing Our Common Voice — Mozilla Releases Second Largest Public Voice Data Set | by Michael Henretty | Mozilla Open Innovation | Medium https://medium.com/mozilla-open-innovation/sharing-our-common-voice-mozilla-releases-second-largest-public-voice-data-set-e88f7d6b7666 27 comments
- 70+ Machine Learning Datasets & Project Ideas – Work on real-time Data Science projects - DataFlair https://googleweblight.com/i?u=https%3A%2F%2Fdata-flair.training%2Fblogs%2Fmachine-learning-datasets%2F 23 comments
- GitHub - astorfi/Deep-Learning-Roadmap: Organized Resources for Deep Learning Researchers and Developers https://github.com/astorfi/Deep-Learning-World 22 comments
- A 2019 Guide to Speech Synthesis with Deep Learning | by Derrick Mwiti | Heartbeat https://heartbeat.fritz.ai/a-2019-guide-to-speech-synthesis-with-deep-learning-630afcafb9dd 21 comments
- GitHub - kjw0612/awesome-rnn: Recurrent Neural Network - A curated list of resources dedicated to RNN https://github.com/kjw0612/awesome-rnn 12 comments
- GitHub - zzw922cn/Automatic_Speech_Recognition: End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow https://github.com/zzw922cn/Automatic_Speech_Recognition 12 comments
- 70+ Machine Learning Datasets & Project Ideas – Work on real-time Data Science projects - DataFlair https://data-flair.training/blogs/machine-learning-datasets/ 9 comments
- Simple Guide To “KALDI” — an efficient open source speech recognition tool for Extreme Beginners — by a beginner! | by Nikhila Munipalli | Medium https://medium.com/@nikhilamunipalli/simple-guide-to-kaldi-an-efficient-open-source-speech-recognition-tool-for-extreme-beginners-98a48bb34756 7 comments
- GitHub - Picovoice/wake-word-benchmark: wake word engine benchmark framework https://github.com/Picovoice/wakeword-benchmark 4 comments
- Mozilla winds down DeepSpeech development, announces grant program | VentureBeat https://venturebeat.com/2021/04/12/mozilla-winds-down-deepspeech-development-announces-grant-program/ 2 comments
- 20 MB is all you need for speech-to-text | by Alireza Kenarsari | Picovoice | Medium https://medium.com/picovoice/20-mb-is-all-you-need-for-speech-to-text-7e701b7f6bfc 2 comments
- GitHub - theblackcat102/edgedict: Working online speech recognition based on RNN Transducer. ( Trained model release available in release ) https://github.com/theblackcat102/Online-Speech-Recognition 2 comments
- GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier https://github.com/guillaume-chevalier/awesome-deep-learning-resources 1 comment
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