ksatiitb,Satyam Keshri,github

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.

algorithms

Minimal examples of data structures and algorithms in Python

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

cambridge-multitrack-dataset

Tools for downloading, sorting & analyzing multitrack recording sessions for machine learning applications

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

course-nlp

A Code-First Introduction to NLP course

deeplearningexamples

Deep Learning Examples

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.

dsproject

DSL DSP Combined Term Project.

end2end-asr-pytorch

End-to-End Automatic Speech Recognition on PyTorch

memery

Search over large image datasets with natural language and computer vision!

meta-tasnet

A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation

music-genre-classification

Music Genre Classification from Spotify music

neural-speech-dereverberation

Machine and Deep Learning models for speech dereverberation

pafx

Python Audio Effects

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

reverb-algorithms

A set of scripts implementing popular reverberation audio effect algorithms.

speech-dereverberation

Dereverberation of Speech Signals Using Weighted Prediction Error

speech-enhancement

Experiments with speech enhancement

speech-notebooks

Notebooks for speech enhancement project

tutorial_separation

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

wavaugment

A library for speech data augmentation in time-domain

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