Speech Recognition Using Tensorflow
-
Updated
Jul 29, 2017 - Python
Speech Recognition Using Tensorflow
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
Python implementation of pre-processing for End-to-End speech recognition
Some approaches based on deep learning to build the acoustic model for an end-to-end automatic speech recognition (ASR) pipeline.
This repository contains Kaldi recipes on the LibriSpeech corpora to extract fMLLR features
Pytorch and TensorFlow data loaders for several audio datasets
Gender Classification with different Machine Learning models, using the LibriSpeech ASR dataset.
Replication of Jasper speech-to-text network using Intel optimized TensorFlow.
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Implement a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline
Automatic speech recognition using neural networks
Baselines for the Zero-Resources Speech Challenge using VisuallyGrounded Models of Spoken Language, 2021 edition
Quartznet implementation on pytorch [https://arxiv.org/abs/1910.10261]
Few-shot learning experiments mostly on speaker recognition.
End to End Automatic Speech Recognition on Librispeech: Pytorch implementation
An end-to-end speech recognition engine similar to DeepSpeech2
End-to-End Speech Recognition using Neural Networks.
A web-app/library for transcribing speech
End-to-End Speech Recognition Using Tensorflow
Voice Activity Detection based on Deep Learning & TensorFlow
Add a description, image, and links to the librispeech topic page so that developers can more easily learn about it.
To associate your repository with the librispeech topic, visit your repo's landing page and select "manage topics."