8095's repositories
Statistical_Enhancement_of_Audio_-SEA--STSA
It is a MMSE approach for speech signal enhancement originally proposed by Ephraim and Malah. This technique is also known as STSA Short Time Spectral Amplitude
AEC-1--FDKF
Acoustic Echo Cancellation——frequency domain kalman
AEC3
AEC3 Extracted From WebRTC
armnn
Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
awesome-matlab
A curated list of awesome Matlab frameworks, libraries and software.
awesome-python
A curated list of awesome Python frameworks, libraries and software.
comparative-abusive-lang-hybridcnn
Comparative Studies of Detecting Abusive Language on Twitter
conformer
PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
DTLN_AEC_4create_tf_lite_model
create_tf_lite_model
FastSpeech2-old-conformer
4conformer-An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
google-research-bcresnet
bcresnet _ dependon specnorm
nncase--cc-net
Open deep learning compiler stack for Kendryte AI accelerator
openMHA-hendrixnoiseestimation
The open Master Hearing Aid (openMHA)
pinguino-libraries-fast_math_2
Pinguino librairies, keywords and other useful files.
pyaudlib-hendriks-biased-mmse
A speech signal processing library in Python with emphasis on deep learning.
SDRPlusPlusBrown-omlsa-mcra
Cross-Platform SDR Software
selective_cepstral_smoothing
This is probably the most compact implementation of Selective Cepstro-Temporal Smoothing
setk-omsla-imcra-wpe
Tools for Speech Enhancement integrated with Kaldi
speech_enhancement_rnnoise_mcra-omlsa
RNNOISE Noise elimination, MCRA noise estimation, OMLSA post filtering
SpeechAlgorithms-python
Speech Algorithms
tensorflowlite_c-_demo
An Open Source Machine Learning Framework for Everyone
Test-aec_c
这是个测试项目
Transformer-from-scratch-transformer
I will build Transformer from scratch
Transformer-Transducer-1
PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)
wave_reader_and_writer
Reading and writing Windows WAVE file format.
webrtcvad-py
Python interface to the WebRTC Voice Activity Detector