STT-examples
🐸STT integration examples (by coqui-ai)
leopard
On-device speech-to-text engine powered by deep learning (by Picovoice)
| STT-examples | leopard | |
|---|---|---|
| 5 | 15 | |
| 111 | 408 | |
| 0.0% | 1.2% | |
| 0.0 | 8.6 | |
| over 1 year ago | 2 days ago | |
| Python | Python | |
| Mozilla Public License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
STT-examples
Posts with mentions or reviews of STT-examples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-04.
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Web Speech API is not available in the Quest browser
You're welcome! Your post actually got me a little interested in seeing what's new with Coqui STT (where all the old Mozilla STT folks moved to) and it seems someone was working on a WebAssembly binding for it, so one could probably finagle something themselves for testing purposes (the bandwidth of loading the model for every user on every page load is unfeasible from a production cost standpoint though)
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DeepSpeech 60x Smaller, 9x faster, and 2x accuracy
I will add https://github.com/coqui-ai/STT, which is a continuation of DeepSpeech. Also, I've been messing around with https://github.com/ideasman42/nerd-dictation, which works on a VOSK backend - accuracy is decent, especially with the bigger model.
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Any privacy friendly automated transcript app?
I don't know of a complete app, but https://github.com/coqui-ai/STT, which grew out of the now-unmaintained Mozilla Deepspeech project, works well and is easy to use. It could be a good starting point if you're comfortable writing a little code.
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[N] 🐸Coqui and OVHCloud are organizing an open-source Speech Recognition Hackaton
👉CoquiSTT - https://github.com/coqui-ai/STT
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Coqui, a startup providing open speech tech for everyone
https://github.com/coqui-ai/STT-examples
If you have any more specific requirements then we can point you in the right direction. Or just join us on Matrix: https://app.element.io/#/room/#coqui-ai_STT:gitter.im :)
leopard
Posts with mentions or reviews of leopard.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-01.
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Automatic Speech Recognition with AWS Lambda and Leopard
Take a look at Leopard GitHub Repository or Leopard Docs Page to learn more about Leopard.
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Day 19: Local Transcription w .NET
Looking for more: Open-source demo code Leopard GitHub repository Speech-to-text Benchmark
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Day 13: Voice Recognition with Ubuntu
Voila! Reach out to Picovoice team on GitHub if you have any questions
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Day 8: Making Cool Raspberry Pi Projects even Cooler with Voice AI (3/4)
This tutorial is intended for Raspberry Pi 4. If you're looking for Raspberry Pi 3 or Raspberry Pi 400 or Raspberry Pi 4 (64-bit) check out Leopard C Demos on GitHub
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Day5: Building a local audio transcription engine running on your web browser with JavaScript
2. Serving the Model Leopard is an on-device speech-to-text solution. So we need to transfer the model (deep neural network) to the client to enable voice processing within the browser.
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Making a Podcast Transcription Server with Express.js and Picovoice Leopard
How does Picovoice Leopard compare to other speech-to-text options?
https://github.com/Picovoice/leopard
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Making a Podcast Transcription Server with Express.js (source code in comments)
Check out the source code here
- On-device speech-to-text engine powered by deep learning
- [P] On-device speech-to-text engine powered by deep learning
- picovoice/leopard - DeepSpeech 60x Smaller, 9x faster, and 2x accuracy
What are some alternatives?
When comparing STT-examples and leopard you can also consider the following projects:
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
speech-to-text-benchmark - speech to text benchmark framework
LocalSTT - Android Speech Recognition Service using Vosk/Kaldi and Mozilla DeepSpeech
nerd-dictation - Simple, hackable offline speech to text - using the VOSK-API.
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
cheetah - On-device streaming speech-to-text engine powered by deep learning
werpy - 🐍📦 Rapidly calculate and analyze the Word Error Rate (WER) with this powerful yet lightweight Python package.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
serverless-leopard
STT-examples vs vosk-api
leopard vs speech-to-text-benchmark
STT-examples vs LocalSTT
leopard vs nerd-dictation
STT-examples vs STT
leopard vs vosk-api
STT-examples vs nerd-dictation
leopard vs cheetah
STT-examples vs speech-to-text-benchmark
leopard vs werpy
STT-examples vs TTS
leopard vs serverless-leopard