mahbubnoor's Stars
VigneshS10/Segmentation-VGG19
đź“ś A Novel Facial Emotion Recognition Model Using Segmentation VGG-19 Architecture
JaeBinCHA7/Nested-U-Net-based-Real-time-Speech-Enhancement-Mobile-App
Real-time speech enhancement mobile app using Nested U-Net
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
voidful/SpeechMix
Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together
Edresson/Wav2Vec-Wrapper
An easy way to fine-tune Wav2Vec 2.0 for low-resource languages.
iver56/audiomentations
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
syhw/wer_are_we
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
ChangLee0903/NASTAR
Official Implementation of NASTAR in Pytorch
facebookresearch/demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation
raminmh/liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
CynthiaKoopman/Echo-State-Networks
Implementation of Echo State Networks, a special kind of Recurrent Neural Networks
sigsep/open-unmix-pytorch
Open-Unmix - Music Source Separation for PyTorch
facebookresearch/simsiam
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
Tony607/Focal_Loss_Keras
Multi-class classification with focal loss for imbalanced datasets
geekysethi/audio_classification
harmanpreet93/audio_classification
Multi-class audio classification with MFCC features using CNN
brihijoshi/vanilla-stft-mfcc
A Python implementation of STFT and MFCC audio features from scratch
vbelz/audio_classification
Audio classification via transfer learning
DeepSpectrum/DeepSpectrum
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
EncoraDigital/SAB-cnn-audio-denoiser
Tensorflow 2.0 implementation of the paper: A Fully Convolutional Neural Network for Speech Enhancement
pytube/pytube
A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.
craigmacartney/Wave-U-Net-For-Speech-Enhancement
Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemented for the task of speech enhancement in the time-domain.
WenzheLiu-Speech/awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
AspLab/DDAE
DDAE
nanahou/Awesome-Speech-Enhancement
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
asteroid-team/asteroid
The PyTorch-based audio source separation toolkit for researchers
madhavmk/Noise2Noise-audio_denoising_without_clean_training_data
Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.
henryxrl/Listening-to-Sound-of-Silence-for-Speech-Denoising
[NeurIPS 2020] Official repository for the project "Listening to Sound of Silence for Speech Denoising"
SolomidHero/speech-regeneration-enhancer
Pytorch implementation of paper "High Fidelity Speech Regeneration With Application to Speech Enhancement"