ziggy1209 Goto Github PK

add_noise_and_rir_to_speech

The purpose of this code base is to add a specified signal-to-noise ratio noise from MUSAN dataset to a pure speech signal and to generate far-field speech data using room impulse response data from BUT Speech@FIT Reverb Database.

audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

audio-snr

Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)

cognitive-services-speech-sdk

Sample code for the Microsoft Cognitive Services Speech SDK

dns-challenge-2020

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

google-research

Google Research

honk

PyTorch implementations of neural network models for keyword spotting

kaldi-aslp

kaldi-io-for-python

Python functions for reading kaldi data formats. Useful for rapid prototyping with python.

kaldi_egs_cgn

Kaldi recipe for creating Dutch ASR from CGN

kaldifeat

Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API

kws_pytorch

Keyword spotting, Speech wake_up, by pytorch, DNN, CNN, TDNN, DFSMN, LSTM

lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv5. MNN, NCNN, TNN, ONNXRuntime.

onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

onnxruntime-inference-examples

Examples for using ONNX Runtime for machine learning inferencing.

pykaldi

A Python wrapper for Kaldi

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

shennong

A Python toolbox for speech features extraction

switch-cuda

A simple bash script for switching between installed versions of CUDA.

usingcli-book

using command line like a hacker

vision

Datasets, Transforms and Models specific to Computer Vision

webrtc_agc

Automatic Gain Control Module Port From WebRTC

webrtc_ns

Noise Suppression Module Port From WebRTC

wekws

Production First and Production Ready End-to-End Keyword Spotting Toolkit

wenet

Production First and Production Ready End-to-End Speech Recognition Toolkit

wespeaker

Research and Production Oriented Speaker Recognition Toolkit

z3

The Z3 Theorem Prover

ziggy1209.github.io

BLOG