Speech to Text Apps

Speech to Text Apps

Related links: 🔗 Speech to Text Apps 🔗 Text to Speech Apps 🔗 Speech to Speech (Fake Voice Generator)

Speech to Text

• DeepSpeech : simpler although inferior

• Kaldi : STT supports hybrid NN-HMM and lattice-free MMI models. Kaldi is used by many people both in research and in production.

• Lingvo is the open source version of Google speech recognition toolkit, with support mostly for end-to-end models.

• ESPNet is good and well known for end-to-end models as well.

• RASR + RETURNN are very good as well, both for end-to-end models and hybrid NN-HMM, but they are for non-commercial applications only (or you need a commercial licence) (disclaimer: I work at the university chair which develops these frameworks).

• http://gkarsay.github.io/parlatype/

• https://github.com/juanerasmoe/pmTrans

• https://pythonbasics.org/transcribe-audio/

• Wav2Letter, the tool by Facebook.

• snakers4/silero-models at mlnews Silero Speech to Text

• coqui Coqui STT and TTS

• voice2json - Command-line tools for speech and intent recognition on Linux

• VOSK Offline Speech Recognition API

• Dataset

  • English: Tedlium, Librispeech, etc.

  • https://github.com/gooofy/zamia-speech

  • https://commonvoice.mozilla.org/en/datasets

  • https://www.openslr.org/resources.php

• snakers4/silero-models: Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

Speech to Text Indonesian Support

• Voice Notebook
• Speech Texter
• Voicenote
• Speechnotes
• Dictation
• Dictanote
• oTranscribe
• Google Web Speech API
• Google Docs Type for your Voice

  • Tools and then Voice typing

Speech Recognition

• Wav2vec: Semi and Unsupervised Speech Recognition - Vaclav Kosar’s Blog
• The Illustrated Wav2vec - Jonathan Bgn

Video Transcriber

• Transcribe File
• Edit Video Fast | Simon Says
• Audio/Video Transcription | 99% Accuracy, 12-HR Turnaround
• Transcription
• AssemblyAI | #1 API Platform for AI Models

Whisper

• Talk - GPT-2 meets Whisper in WebAssembly
• whisper.cpp : WASM example
• Transcribe File