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conferencingspeech2021

Conferencing Speech Challenge

constantbeamwidthbeamformingnonuniform

cospa

Complex-valued Spatial Autoencoders for Multichannel Speech Enhancement

cost_aware_enhancement

Communication-Cost Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrays

countnet

Deep Neural Network for Speaker Count Estimation

crepe

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

css_with_conformer

Code for the ICASSP-2021 paper: Continuous Speech Separation with Conformer.

datadriven-gpvad

The codebase for Data-driven general-purpose voice activity detection.

dcunet

Phase-aware speech enchancement with Deep Complex U-Net

deep-acoustic-analysis

deep-audio-prior

Audio Source Separation Without Any Training Data.

deepafx

Third-party audio effects plugins as differentiable layers within deep neural networks.

deepbeam

Deep learning based Speech Beamforming

deepfilternet

Noise supression using deep filtering

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

deepxi

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

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.

denoising-historical-recordings

A two-stage U-Net for high-fidelity denoising of historical recordings

dereverberation-and-denoising

MATLAB codes for estimating the room impulse response (RIR) and exemplar weights for speech dereverberation in noisy environments using the NMF and NMD -based techniques

dereverberation-toolkit-for-reverb-challenge

Deep Learning Based Monaural Speech Dereverberation Models: Hope We Can Get Better Performance of Dereverberation

dgfem-acoustic

Discontinuous Galerkin finite element method (DGFEM) for Acoustic Wave Propagation

dgttool

A simple and user-friendly tool for computing STFT/DGT

directional_sparse_filtering

Directional sparse filtering for blind speech separation

disco

Distributed semi-constrained microphone arrays

distant_speech_recognition

spatial signal processing toolkit a.k.a beamforming toolkit 2.0 (BTK2.0)

dnn-based_source_separation

A PyTorch implementation of DNN-based source separation.

dnn_kalman_filter

DNN assisted Kalman filter for time domain speech enhancement

dnn_wpe

doamm

Implementation of algorithms for refinement of direction of arrival estimators by optimization

dr-nmf

Implementation of deep recurrent nonnegative matrix factorization (DR-NMF) for speech separation