Hybrid DNN-HMM-Based Approach for Telugu Language Speech Recognition

Hybrid DNN-HMM-Based Approach for Telugu Language Speech Recognition

In this paper, we discuss our research work in Telugu Indian language speech data for building a large language vocabulary to build Telugu speech recognition system. We have collected speech research data around 2628 utterances in Telugu language among 14 Indian regional languages as part of Speech...

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Bibliographic Details
Main Authors: M. Rama Rajeswari, Suryakanth V. Gangashetty
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
ASR
HMM
MFCC
Telugu language
acoustic model
language model
Online Access:https://ieeexplore.ieee.org/document/11079596/
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https://ieeexplore.ieee.org/document/11079596/

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