zcaceres / spec_augmentLinks
🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
☆499Updated 4 years ago
Alternatives and similar repositories for spec_augment
Users that are interested in spec_augment are comparing it to the libraries listed below
Sorting:
- A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain☆654Updated 3 years ago
- Problem Agnostic Speech Encoder☆444Updated 2 years ago
- A library for speech data augmentation in time-domain☆676Updated 4 years ago
- UrbanSound classification using Convolutional Recurrent Networks in PyTorch☆387Updated 4 years ago
- ☆227Updated 5 years ago
- End-to-end ASR/LM implementation with PyTorch☆594Updated 4 years ago
- [InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei …☆209Updated 2 years ago
- A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.☆202Updated 6 years ago
- Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196☆319Updated 4 years ago
- An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.☆364Updated 4 years ago
- Utterance-level Aggregation For Speaker Recognition In The Wild☆370Updated 2 years ago
- Speech Enhancement Generative Adversarial Network in PyTorch☆402Updated 2 years ago
- An STFT/iSTFT for PyTorch.☆366Updated 2 years ago
- End-to-End Automatic Speech Recognition on PyTorch☆302Updated 3 years ago
- Time delay neural network (TDNN) implementation in Pytorch using unfold method☆203Updated 5 years ago
- LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks…☆516Updated 3 years ago
- Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.☆1,100Updated 9 months ago
- PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.☆592Updated 3 years ago
- ☆503Updated last year
- Deep learning based speech source separation using Pytorch☆319Updated 4 years ago
- SincNet is a neural architecture for efficiently processing raw audio samples.☆1,200Updated 4 years ago
- Python functions for reading kaldi data formats. Useful for rapid prototyping with python.☆378Updated 2 years ago
- Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning☆187Updated 5 years ago
- Official repository for RawNet, RawNet2, and RawNet3☆390Updated last year
- PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]☆269Updated 6 years ago
- Tensorflow implementation of "Generalized End-to-End Loss for Speaker Verification"☆369Updated 4 years ago
- Single and multichannel sound event detection using convolutional recurrent neural networks. DCASE 2017 real-life sound event detection w…☆194Updated 3 years ago
- Pytorch code for "Rethinking CNN Models for Audio Classification"☆129Updated 4 years ago
- VGGVox models for Speaker Identification and Verification trained on the VoxCeleb (1 & 2) datasets☆395Updated 6 years ago
- Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge☆201Updated last year