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aec-challenge

AEC Challenge

awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

beamforming_research

binauralspeechsynthesis

N/A

conferencingspeech2021

Conferencing Speech Challenge

crepe

CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

deepfilternet

Noise supression using deep filtering

dtln

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

enhancement-coded-speech

esc-50

ESC-50: Dataset for Environmental Sound Classification

howtocook

程序员在家做饭方法指南。

mcse

Multi-channel speech enhancement system (MVDR beamformer + several postfilters)

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

odddml

Machine Learning tools and utils for devs, brought to you by ODDD Technologies

pinto_model_zoo

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

rnnoise

Recurrent neural network for audio noise reduction

speech-resources

语音方向实验室/公司/资源/实习等，欢迎推荐或自荐（排名不分先后）

speech_dataset

The dataset of Speech Recognition

speechalgorithms

Speech Algorithms Collections

speechbrain

A PyTorch-based Speech Toolkit

tcn

Sequence modeling benchmarks and temporal convolutional networks

tensorflowasr

集成了Tensorflow 2版本的端到端语音识别模型，并且RTF(实时率)在0.1左右/Mandarin State-of-the-art Automatic Speech Recognition in Tensorflow 2

voicefilter

Unofficial PyTorch implementation of Google AI's VoiceFilter system

voicefilter-1

Unofficial Keras implementation of Google AI VoiceFilter

zhvoice

Chinese voice corpus. 中文语音语料，语音更加清晰自然，包含8个开源数据集，3200个说话人，900小时语音，1300万字。

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