saurabhvyas

audioset_transfer

using Google's pretrained audioset model, to classify new audio categories

audio-classification

simple pytorch audio classification example

ctc_tensorflow_example

CTC + Tensorflow Example for ASR

dataset_creator

this small project, will help you to create datasets for audio related tasks, major code is taken from KT crawler git project

kaldi_scripts

a few useful kaldi scripts for my own use

tf_audio_sentiment

tensorflow code for binary sentimental classification ( happy and no happy ) for hindi data

word_ctc

ASR-System-for-Hindi-Language

The repository contains all the codes necessary for my project - Automatic Speech Recognition System in Hindi Language ( Project description is available at :- https://goo.gl/eQZkMP) : It containes the code for the following systems - 1) Monophone-HMM system built using HTK toolkit , 2)Monophone-HMM system built using Kaldi toolkit, 3)Triphone-HMM system built using Kaldi toolkit and 4)DNN-HMM system built using Kaldi toolkit

auto_speech

awesome-speech-recognition-speech-synthesis-papers

Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

dataset_augment

code for augmenting dataset

dataset_builder

create dataset for asr

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

deepspeech.pytorch

Speech Recognition using DeepSpeech2 and the CTC activation function. Edit

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

feeny_voice

code for creating dataset for feeny , also useful for general purpose dataset creation

glossary_extractor

extract concepts from a book's glossary

hindi_char

hnatt

Train and visualize Hierarchical Attention Networks

ibm_speech

implementation of https://arxiv.org/pdf/1703.07754.pdf in tensorflow

kaldi

This is the official location of the Kaldi project.

nli_corpus_preprocess

preprocessing files for SNLI,SCITAIL AND MultiNLI datasets for training on custom setup

o21

orange_vision_helper

This projects aims to solve a ton of real world problems. It will make use of open source CV, and speech tools to solve following problems :

pi_inference

speechpy

:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

srnn_nli

tensor2tensor

A library for generalized sequence to sequence models

tf_kaggle

WER-in-python

This program calculates the word error rate of hypothesis in ASR and print the aligned result.