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overlayfs-tools

Maintenance tools for overlay-filesystem

ozonebase

Open Source, MIT licensed, SDK for Video Innovation & CCTV solutions http://ozone.network

pi-chromium-standalone

plugin.program.chrome.launcher

projectears

KWS dataset creator and utils

pulseaudio-webrtc-audio-processing

AudioProcessing library based on Google's implementation of WebRTC

py-aec-unified2021

py-webrtcvad

Python interface to the WebRTC Voice Activity Detector

python-webrtc-audio-processing

Python bindings of WebRTC Audio Processing

raspberry-pi-installer-scripts

rk3588-nas-hardware

Rk3588-NAS Hardware

rock5b-wav2letter-bench

rock5b running armnn wav2letter GpuAcc & CpuAcc exaples

rockchip-kernel

Fork of Rockchip's BSP kernel with lots of patches, backports, and custom fixes - currently tested on the RockPi4, Rock64, Rockbox, and Rockpro64

rockpi4b-scripts

utility scripts for radxa RockPi4

rockwall

Pine Rock64 Firewall/Router Image

rpos

Raspberry Pi Onvif Server

seeed-voicecard

2 Mic Hat, 4 Mic Array, 6-Mic Circular Array Kit, and 4-Mic Linear Array Kit for Raspberry Pi

sherlock-hack

Raspberry Pi OpenCV Face Detection

simple_audio_tensorflow

Simple Audio Inference Tensflow 2.4

snd-i2s_rpi

Linux kernel driver/DKMS for the Adafruit I2S MEMS Microphone

snowboy

DNN based hotword and wake word detection toolkit

sound-separation

soundsourceseparation

The code for multi-channel source separation and dereverberation such as FastMNMF1, FastMNMF2, and AR-FastMNMF2.

speaker_extraction

target speaker extraction and verification for multi-talker speech

speaker_verification

Tensorflow implementation of "Generalized End-to-End Loss for Speaker Verification"

spectra

Spectra extraction tutorials based on torch and torchaudio.

speechbrain-notorch

no torch version of speechbrain beamforming

speexdsp

Speex audio processing library - Please send patches to [email protected]

speexdsp-python

Speex Echo Canceller Python Library

spleeterrt

Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.