Pinned Repositories
AEC-Challenge
AEC Challenge
AEC_DeepModel
基于深度学习的声学回声消除基线代码
Ancient-Spider
C++ 控制台 蜘蛛纸牌游戏
awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
beamforming
不同波束形成算法仿真，共计30余种
DeepComplexCRN
denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
fdaf-double-talk-detector
Frequency-Dependent Adaptive Filtering Double Talk Detector.
pyaec
simple and efficient python implemention of a series of adaptive filters (lms、nlms、rls、kalman、Frequency Domain Adaptive Filter、Partitioned-Block-Based Frequency Domain Adaptive Filter、Frequency Domain Kalman Filter、Partitioned-Block-Based Frequency Domain Kalman Filter) for acoustic echo cancellation.
SimpleAudioDenoise
A Simple and Efficient Implementation Of Fast Fourier Transform For Audio Denoise
SongMmHh's Repositories
SongMmHh/pyaec
simple and efficient python implemention of a series of adaptive filters (lms、nlms、rls、kalman、Frequency Domain Adaptive Filter、Partitioned-Block-Based Frequency Domain Adaptive Filter、Frequency Domain Kalman Filter、Partitioned-Block-Based Frequency Domain Kalman Filter) for acoustic echo cancellation.
SongMmHh/SimpleAudioDenoise
A Simple and Efficient Implementation Of Fast Fourier Transform For Audio Denoise
SongMmHh/AEC-Challenge
AEC Challenge
SongMmHh/AEC_DeepModel
基于深度学习的声学回声消除基线代码
SongMmHh/Ancient-Spider
C++ 控制台 蜘蛛纸牌游戏
SongMmHh/awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
SongMmHh/beamforming
不同波束形成算法仿真，共计30余种
SongMmHh/DeepComplexCRN
SongMmHh/denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
SongMmHh/fdaf-double-talk-detector
Frequency-Dependent Adaptive Filtering Double Talk Detector.
SongMmHh/Hellowoed
fresh man
SongMmHh/MASP
Microphone Array Speech Processing
SongMmHh/matlab-schemes
A collection of color schemes for MATLAB
SongMmHh/OMLSA-IMCRA-Note
Note on Cohen's NS algorithm OMLSA-IMCRA, paper and code implementation
SongMmHh/rnnoise
Recurrent neural network for audio noise reduction
SongMmHh/Speech_Enhancement_MMSE-STSA
A statistical model-based Speech Enhancement Using MMSE-STSA
SongMmHh/unified2021
A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION