30stomercury / Automatic-Speech-RecognitionLinks
End-to-End Speech Recognition Using Tensorflow
☆41Updated 2 years ago
Alternatives and similar repositories for Automatic-Speech-Recognition
Users that are interested in Automatic-Speech-Recognition are comparing it to the libraries listed below
Sorting:
- Use your data to create a speech recognition system in Kaldi. Fast.☆65Updated 5 years ago
- An example directory for running Multi-Task Learning training on Kaldi neural networks. In Kaldi-speak, this is an egs dir for nnet3 trai…☆54Updated 5 years ago
- Tensor2tensor experiment with SpecAugment☆46Updated 6 years ago
- A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.☆136Updated 5 years ago
- Inspired work by the project of SER using ELM at Microsoft Research☆19Updated 6 years ago
- WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation, and training audio classification models wi…☆91Updated 4 years ago
- Python implementation of pre-processing for End-to-End speech recognition☆69Updated 7 years ago
- Audio data augmentation examples☆34Updated 7 years ago
- Companion repository for the paper "A Comparison of Metric Learning Loss Functions for End-to-End Speaker Verification" published at SLSP…☆60Updated 4 years ago
- This repository describes our reproducible framework for assessing self-supervised representation learning from speech☆51Updated 3 years ago
- The Additive Margin SincNet (AM-SincNet) is a new approach for speaker recognition problems which is based in the neural network architec…☆45Updated last year
- transformer for ASR-systerm (via tensorflow2.0)☆114Updated 6 years ago
- An advance kaldi wrapper for Pyhton☆38Updated 4 years ago
- ☆38Updated 5 years ago
- Implementation of "FastSpeech: Fast, Robust and Controllable Text to Speech"☆64Updated last year
- 💬 A list of End-to-End speech recognition, including papers, codes and other materials☆52Updated 6 years ago
- Pytorch implementation of Tacotron, a speech synthesis end-to-end generative TTS model.☆29Updated 6 years ago
- Speaker diarization based on Kaldi x-vectors, tuned for 16k microphone data☆95Updated last year
- PyTorch Implementations for End-to-End Automatic Speech Recognition☆126Updated 6 years ago
- Paper: https://arxiv.org/abs/1702.02285☆64Updated 6 years ago
- ASR with PyTorch☆139Updated 6 years ago
- PyTorch implementation of Listen Attend and Spell Automatic Speech Recognition (ASR).☆38Updated 5 years ago
- An implementation of RNN-Transducer loss in TF-2.0.☆45Updated 2 years ago
- A simple implementation of the paper https://arxiv.org/pdf/1910.00716v1.pdf☆31Updated 3 years ago
- BERT and LSTM baseline models of the ZeroSpeech Challenge 2021☆60Updated 2 years ago
- Estimating the Age, Height, and Gender of a speaker with their speech signal. https://arxiv.org/pdf/2110.13653.pdf☆65Updated 4 years ago
- Feature extraction of speech signal is the initial stage of any speech recognition system.☆93Updated 4 years ago
- Voxceleb1 i-vector based speaker recognition system☆43Updated 7 years ago
- Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.☆36Updated 5 years ago
- This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of a…☆95Updated 5 years ago