a-n-rose / Build-CNN-or-LSTM-or-CNNLSTM-with-speech-featuresLinks
A set of scripts that extract speech features (so far MFCCs, FBANKs, STFT, and kinda dominant frequency) and trains CNN, LSTM, or CNN+LSTM models with those features.
☆54Updated 2 years ago
Alternatives and similar repositories for Build-CNN-or-LSTM-or-CNNLSTM-with-speech-features
Users that are interested in Build-CNN-or-LSTM-or-CNNLSTM-with-speech-features are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"☆154Updated 6 years ago
- It uses GMM to train a speaker identification model. The training and testing has been done on subset (34 speakers) from VoxForge data co…☆58Updated 6 years ago
- Some useful features of speech process, such as MFCC, gammatone filterbank, GFCC, spectrum(power spectrum and log-power spectrum), Amplit…☆129Updated 5 years ago
- This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1☆114Updated 6 years ago
- Implementation of the paper "Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning" From I…☆57Updated 5 years ago
- ☆35Updated 6 years ago
- Feature extraction of speech signal is the initial stage of any speech recognition system.☆96Updated 5 years ago
- ☆60Updated 5 years ago
- Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a …☆253Updated 2 years ago
- Speech separation with utterance-level PIT experiments☆105Updated 7 years ago
- Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemente…☆222Updated 2 years ago
- The state-of-art time domain network for speech separation, and it performs well on speech enhancement and music separation☆45Updated 6 years ago
- A pytorch implementation of xvector embedding☆79Updated 5 years ago
- A speaker recognition system which uses GMM-UBM for use in an Android application which helps in monitoring patients suffering from Schiz…☆55Updated 7 years ago
- Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)☆74Updated 4 years ago
- Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF☆189Updated 6 years ago
- This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of a…☆96Updated 5 years ago
- deep clustering method for single-channel speech separation☆110Updated 3 years ago
- Implementing speaker recognition using Python (GMM-UBM)☆29Updated 7 years ago
- Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM☆108Updated 4 years ago
- Code and audio files associated with the paper "Speech Enhancement with Variance Constrained Autoencoders" presented at Interspeech 2019☆15Updated 6 years ago
- [Research] Monaural Speech Enhancement through Wave-U-Net (SEWUNet)☆31Updated 3 years ago
- Robust Speech Recognition Using Generative Adversarial Networks (GAN)☆59Updated 6 years ago
- ☆131Updated 7 years ago
- ☆54Updated 6 years ago
- Implementation of the paper "SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement."☆44Updated 6 years ago
- Speaker identification using voice MFCCs and GMM☆54Updated 5 years ago
- Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"☆103Updated 6 years ago
- Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM☆119Updated 6 years ago
- Keras framework for speech enhancement using relativistic GANs☆52Updated 5 years ago