leopard
cheetah
leopard | cheetah | |
---|---|---|
15 | 5 | |
408 | 555 | |
1.2% | 0.7% | |
8.6 | 8.2 | |
1 day ago | 1 day 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
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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
cheetah
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voice-to-text-notes VS cheetah - a user suggested alternative
2 projects | 8 Oct 2022
Picovoice processes voice data locally on device without sending it to the cloud. Hence, nobody has access to the data other than the owner, making it 100% private. It is more accurate than Google or IBM. Offers 100 hours of free transcription per month.
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Transcribe Speech to Text with Python for Free
Cool! Leopard operates on files but Cheetah can do live (streaming)
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Voice to Text Options that respect privacy
I already knew pocketsphinx or Mozilla DeepSpeech, but Picospeech Cheetah is probably the best, offline, STT system currently.
- ELI5: Why do we wake up when we hear our names?
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Control a Java application with offline voice commands - source code in comments!
Looks really interesting. Can you explain the license? It is not clear to me as Cheetah (the underlying speech to text engine?) is not open source but this SDK is which requires Cheetah?
What are some alternatives?
speech-to-text-benchmark - speech to text benchmark framework
silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector
nerd-dictation - Simple, hackable offline speech to text - using the VOSK-API.
picovoice - On-device voice assistant platform powered by deep learning
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
vosk-browser - A speech recognition library running in the browser thanks to a WebAssembly build of Vosk
STT-examples - 🐸STT integration examples
werpy - 🐍📦 Rapidly calculate and analyze the Word Error Rate (WER) with this powerful yet lightweight Python package.
rhino - Rhino is an open-source implementation of JavaScript written entirely in Java
serverless-leopard
rhino - On-device Speech-to-Intent engine powered by deep learning