Code Monkey home page Code Monkey logo

ai-sherry's Projects

academicodec icon academicodec

AcademiCodec: An Open Source Audio Codec Model for Academic Research

asteroid icon asteroid

The PyTorch-based audio source separation toolkit for researchers || Current highlight : we got our WHAMR results check it out here !

cgmm-mask-estimator icon cgmm-mask-estimator

Implementation of the offline method described in "Robust mvdr beamforming using time-frequency masks for online/offline asr in noise"

conformer icon conformer

PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

conv-tasnet icon conv-tasnet

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

conv-tasnet-1 icon conv-tasnet-1

A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation"

deep-speaker icon deep-speaker

Deep Speaker: an End-to-End Neural Speaker Embedding System.

delta icon delta

DELTA is a deep learning based natural language and speech processing platform.

dns-challenge icon dns-challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

dtln-aec icon dtln-aec

This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

dual-path-rnn-pytorch icon dual-path-rnn-pytorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

eabnet icon eabnet

This is the repo of the manuscript "Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement", which was submitted to ICASSP2022.

fullsubnet-plus icon fullsubnet-plus

The official PyTorch implementation of "FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement".

icassp-2023-24-papers icon icassp-2023-24-papers

ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal processing. Code included. Star the repository to support the advancement of audio and signal processing!

inter-subnet icon inter-subnet

The official PyTorch implementation of "Inter-SubNet: Speech Enhancement with Subband Interaction", accepted by ICASSP 2023.

mcnet icon mcnet

The official repo: "McNet: Fuse Multiple Cues for Multichannel Speech Enhancement", ICASSP 2023

metrics icon metrics

Machine learning metrics for distributed, scalable PyTorch applications.

mp-senet icon mp-senet

MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase Spectra

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.