leopard
On-device speech-to-text engine powered by deep learning (by Picovoice)
serverless-leopard
By Picovoice
leopard | serverless-leopard | |
---|---|---|
15 | 1 | |
408 | 2 | |
1.2% | - | |
8.6 | 10.0 | |
2 days ago | about 2 years ago | |
Python | Python | |
Apache 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.
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
serverless-leopard
Posts with mentions or reviews of serverless-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.
-
Automatic Speech Recognition with AWS Lambda and Leopard
Download the zip file from the GitHub repository which contains the Lambda handler and packaged [pvleopard](https://pypi.org/project/pvleopard/) module.
What are some alternatives?
When comparing leopard and serverless-leopard you can also consider the following projects:
speech-to-text-benchmark - speech to text benchmark framework
nerd-dictation - Simple, hackable offline speech to text - using the VOSK-API.
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
cheetah - On-device streaming speech-to-text engine powered by deep learning
STT-examples - 🐸STT integration examples
werpy - 🐍📦 Rapidly calculate and analyze the Word Error Rate (WER) with this powerful yet lightweight Python package.
ovos-stt-plugin-whispercpp
octopus - On-device Speech-to-Index engine powered by deep learning