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2017 | OriginalPaper | Buchkapitel

READ—A Bangla Phoneme Recognition System

verfasst von : Himadri Mukherjee, Chayan Halder, Santanu Phadikar, Kaushik Roy

Erschienen in: Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications

Verlag: Springer Singapore

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Abstract

Speech Recognition is a challenging task especially for a multilingual country like India as the speakers are habituated in using mixed language and accent. Bangla is a very popular language in East Asia and a fully functional Automated Speech Recognition System (ASR) for it is yet to be developed. Every language embodies a set of sounds called phoneme set, which is the building block for the words of that language. READ (Record Extract Approximate Distinguish) is a Bangla phoneme recognition system, proposed toward the development of a Bangla ASR. To start with, Mel Scale Cepstral Coefficient (MFCC) features have been used for testing on a database of 1400 Bangla vowel phonemes and an accuracy of 98.35% has been obtained.

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Titel: READ—A Bangla Phoneme Recognition System
verfasst von: Himadri Mukherjee
Chayan Halder
Santanu Phadikar
Kaushik Roy
Verlag: Springer Singapore
Buch: Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications
Print ISBN: 978-981-10-3152-6

Electronic ISBN: 978-981-10-3153-3

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-981-10-3153-3_59

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