Pinned Repositories
Adaptive-MultiSpeaker-Separation
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
Adaptive_front_ends
Code for the paper "Adaptive Front Ends for end-to-end source separation"
conv-tas-net
A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation"
Conv-TasNet
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
deep-clustering
deep clustering method for single-channel speech separation
deep-clustering-1
A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation
LSTM_PIT_Speech_Separation
Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
Pitch-Tracking
Pitch detection algorithms in Matlab
recommended-books
计算机经典书籍推荐 部分书籍提供PDF下载
segan-1
Speech Enhancement Generative Adversarial Network in TensorFlow
jhuiac's Repositories
jhuiac/deep-clustering-1
A tensorflow implementation for Deep clustering: Discriminative embeddings for segmentation and separation
jhuiac/Pitch-Tracking
Pitch detection algorithms in Matlab
jhuiac/SpeechSeparation
jhuiac/swoice_assignment_gender
jhuiac/-task3-important-STSP_IIUI-Spring2016
Assignments for Special Topics in Signal Processing Course @ International Islamic University Islamabad, Spring 2016
jhuiac/audio_gender_prediction
Predicts the gender of a speaker given input .wav file
jhuiac/CNN-for-single-channel-speech-enhancement
Convolutional neural nets for single channel speech enhancement
jhuiac/CS231n
CS231n assignment & Notes & Slides
jhuiac/DaNet-Tensorflow
Tensorflow implementation of "Speaker-independent Speech Separation with Deep Attractor Network"
jhuiac/DDAE
DDAE speech enhancement on spectrogram domain using Keras
jhuiac/Deep-Attractor-Network-TFLearn
Attempt at implementing the Deep Attractor Network in TFLearn for single-source, multiple speaker speech separation.
jhuiac/deep-clustering-2
jhuiac/DNN_Localization_And_Separation
Speech Localization and Separation using DNNs
jhuiac/DT2118-Deep-Learning-Project
jhuiac/EssentiaProject
Tests and improvements for various Essentia algorithms
jhuiac/gentab
Dossier origin du projet de generateur de partition
jhuiac/Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones
This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.
jhuiac/kDS
jhuiac/mann-for-speech-separation
Neural Turing machine for source separation in Tensorflow
jhuiac/Music-Separation
This project is aimed to separate different instrumental music in a piece of music.
jhuiac/Neural-network-and-Deep-Learning-Python3.5
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
jhuiac/nn-gev
Neural network supported GEV beamformer
jhuiac/QBH
jhuiac/speech_enhacement_spectral_domain
speech enhancement in spectral domain
jhuiac/speech_feature_extractor
Some useful features of speech process, such as MFCC, gammatone filterbank, GFCC, spectrum(power spectrum and log-power spectrum), Amplitude Modulation Spectrum(AMS) and so on.
jhuiac/speech_seg_sep
Tinkering with ideas about using an RNN to process audio signals for speech segmentation and separation from other acoustic sources.
jhuiac/ST_Voicing_Pitch
Speech Technologies: Pitch estimation and voicing detection
jhuiac/Training-Targets-for-Speech-Separation-Neural-Networks
This is a project on working/resolving the speech separation problem using supervised learning on various training targets, building machine learning model using feed forward neural networks. Implementing metrics like STOI and PESQ for speech quality and interpretability metrics.
jhuiac/voiceMusicSeparation
Voice Music Separation competing for 6th Huawei Cup in ZJU
jhuiac/yin
Yin algorithm for F0 detection