Alternatives and similar repositories for Speech_Signal_Processing_and_Classification:

Users that are interested in Speech_Signal_Processing_and_Classification are comparing it to the libraries listed below

• aishoot / Speech_Feature_Extraction
  Feature extraction of speech signal is the initial stage of any speech recognition system.
  ☆92Updated 4 years ago
• eesungkim / Speech_Enhancement_DNN_NMF
  Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF
  ☆185Updated 6 years ago
• jymsuper / SpeakerRecognition_tutorial
  Simple d-vector based Speaker Recognition (verification and identification) using Pytorch
  ☆211Updated 4 years ago
• ZhihaoDU / speech_feature_extractor
  Some useful features of speech process, such as MFCC, gammatone filterbank, GFCC, spectrum(power spectrum and log-power spectrum), Amplit…
  ☆126Updated 4 years ago
• a-n-rose / Build-CNN-or-LSTM-or-CNNLSTM-with-speech-features
  A set of scripts that extract speech features (so far MFCCs, FBANKs, STFT, and kinda dominant frequency) and trains CNN, LSTM, or CNN+LST…
  ☆51Updated 2 years ago
• aishoot / LSTM_PIT_Speech_Separation
  Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
  ☆310Updated 3 years ago
• amanbasu / speech-emotion-recognition
  Detecting emotions using MFCC features of human speech using Deep Learning
  ☆128Updated 4 years ago
• RayanWang / Speech_emotion_recognition_BLSTM
  Bidirectional LSTM network for speech emotion recognition.
  ☆263Updated 6 years ago
• zhr1201 / CNN-for-single-channel-speech-enhancement
  Convolutional neural nets for single channel speech enhancement
  ☆142Updated 4 years ago
• jtkim-kaist / Speech-enhancement
  Deep neural network based speech enhancement toolkit
  ☆216Updated 5 years ago
• vandana-rajan / 1D-Speech-Emotion-Recognition
  Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM
  ☆106Updated 3 years ago
• abhijeet3922 / Speaker-identification-using-GMMs
  It uses GMM to train a speaker identification model. The training and testing has been done on subset (34 speakers) from VoxForge data co…
  ☆56Updated 5 years ago
• 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, implemente…
  ☆219Updated 2 years ago
• haoxiangsnr / A-Convolutional-Recurrent-Neural-Network-for-Real-Time-Speech-Enhancement
  A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorc…
  ☆323Updated 4 years ago
• manthanthakker / speakerIdentificationNeuralNetworks
  ⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's vo…
  ☆38Updated 5 years ago
• filippogiruzzi / voice_activity_detection
  Voice Activity Detection based on Deep Learning & TensorFlow
  ☆363Updated 2 years ago
• tzaiyang / SpeechEmoRec
  Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
  ☆52Updated 6 years ago
• Anwarvic / Speaker-Recognition
  This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1
  ☆111Updated 5 years ago
• vipchengrui / traditional-speech-enhancement
  Spectral Subtraction, Wiener Filtering, MMSE
  ☆117Updated 5 years ago
• astorfi / 3D-convolutional-speaker-recognition-pytorch
  Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
  ☆123Updated 6 years ago
• grausof / keras-sincnet
  Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
  ☆73Updated 3 years ago
• leftthomas / SEGAN
  A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
  ☆145Updated 5 years ago
• Janghyun1230 / Speaker_Verification
  Tensorflow implementation of "Generalized End-to-End Loss for Speaker Verification"
  ☆368Updated 3 years ago
• yluo42 / TAC
  transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.
  ☆272Updated 3 years ago
• seanwood / gcc-nmf
  Real-time GCC-NMF Blind Speech Separation and Enhancement
  ☆319Updated 6 years ago
• Walleclipse / Deep_Speaker-speaker_recognition_system
  Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)
  ☆249Updated 5 years ago
• imfing / audio-classification
  Environmental sound classification using Deep Learning with extracted features
  ☆165Updated 5 years ago
• ShiZiqiang / dual-path-RNNs-DPRNNs-based-speech-separation
  A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling…
  ☆172Updated 4 years ago
• eesungkim / Voice_Activity_Detector
  A statistical model-based Voice Activity Detection
  ☆192Updated 6 years ago
• yongxuUSTC / sednn
  deep learning based speech enhancement using keras or pytorch, make it easy to use
  ☆335Updated 5 years ago