leopard
ovos-stt-plugin-whispercpp
leopard | ovos-stt-plugin-whispercpp | |
---|---|---|
15 | 1 | |
408 | 5 | |
1.2% | - | |
8.6 | 2.8 | |
2 days ago | 12 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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.
leopard
-
Automatic Speech Recognition with AWS Lambda and Leopard
Take a look at Leopard GitHub Repository or Leopard Docs Page to learn more about Leopard.
-
Day 19: Local Transcription w .NET
Looking for more: Open-source demo code Leopard GitHub repository Speech-to-text Benchmark
-
Day 13: Voice Recognition with Ubuntu
Voila! Reach out to Picovoice team on GitHub if you have any questions
-
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
-
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.
-
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
-
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
ovos-stt-plugin-whispercpp
What are some alternatives?
speech-to-text-benchmark - speech to text benchmark framework
werpy - ππ¦ Rapidly calculate and analyze the Word Error Rate (WER) with this powerful yet lightweight Python package.
nerd-dictation - Simple, hackable offline speech to text - using the VOSK-API.
TheAlgorithms - All Algorithms implemented in Python
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
transformers - π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
cheetah - On-device streaming speech-to-text engine powered by deep learning
STT-examples - πΈSTT integration examples
serverless-leopard
octopus - On-device Speech-to-Index engine powered by deep learning