Discriminatively trained continuous Hindi speech recognition using integrated acoustic features and recurrent neural network language modeling

Discriminatively trained continuous Hindi speech recognition using integrated acoustic features and recurrent neural network language modeling

This paper implements the continuous Hindi Automatic Speech Recognition (ASR) system using the proposed integrated features vector with Recurrent Neural Network (RNN) based Language Modeling (LM). The proposed system also implements the speaker adaptation using Maximum-Likelihood Linear Regression (...

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Bibliographic Details
Main Authors: Kumar A., Aggarwal R.K.
Format: Article
Language:English
Published: De Gruyter 2020-07-01
Series:Journal of Intelligent Systems
Subjects:
automatic speech recognition
mfcc
gfcc
werbc
plp
discriminative training
mmi
mpe
rnn lm
Online Access:https://doi.org/10.1515/jisys-2018-0417

Internet

https://doi.org/10.1515/jisys-2018-0417

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