sskorol/respeaker-websockets

This project reveals full Respeaker Core V2 potential by using bundled Alango DSP algorithms for audio pre-processing before sending to the custom ASR server.

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/ 100
Emerging

This tool helps developers transform raw audio captured by a Respeaker Core V2 into a clear, pre-processed stream ready for speech-to-text conversion. It takes noisy audio input, applies advanced sound enhancements like noise suppression and echo cancellation, and then sends it to a custom Automatic Speech Recognition (ASR) server via WebSockets. It's designed for developers building custom voice interaction systems.

No commits in the last 6 months.

Use this if you are developing a custom voice assistant or embedded speech application and need to ensure high-quality audio input from a Respeaker Core V2 device to your ASR engine.

Not ideal if you are a non-developer seeking an out-of-the-box voice assistant solution or if you don't have a custom ASR server setup.

embedded-systems voice-assistants speech-recognition audio-processing robotics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

7

Forks

3

Language

C++

License

Apache-2.0

Last pushed

May 06, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/sskorol/respeaker-websockets"

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