Multilingual phone recognition in Indian languages / Manjunath K.E.

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Multilingual phone recognition in Indian languages / Manjunath K.E.

9783030807412 (electronic bk.)
303080741X (electronic bk.)
9783030807405
3030807401

Cham : Springer, [2022]

©2022

English

1 online resource : illustrations (some color).

10.1007/978-3-030-80741-2 doi

TK7895.S65 K4 2022

006.4/54

The book presents current research and developments in multilingual speech recognition. The author presents a Multilingual Phone Recognition System (Multi-PRS), developed using a common multilingual phone-set derived from the International Phonetic Alphabets (IPA) based transcription of six Indian languages - Kannada, Telugu, Bengali, Odia, Urdu, and Assamese. The author shows how the performance of Multi-PRS can be improved using tandem features. The book compares Monolingual Phone Recognition Systems (Mono-PRS) versus Multi-PRS and baseline versus tandem system. Methods are proposed to predict Articulatory Features (AFs) from spectral features using Deep Neural Networks (DNN). Multitask learning is explored to improve the prediction accuracy of AFs. Then, the AFs are explored to improve the performance of Multi-PRS using lattice rescoring method of combination and tandem method of combination. The author goes on to develop and evaluate the Language Identification followed by Monolingual phone recognition (LID-Mono) and common multilingual phone-set based multilingual phone recognition systems.

Includes bibliographical references and index.

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Online resource; title from PDF title page (SpringerLink, viewed October 13, 2021).

SpringerBriefs in electrical and computer engineering. Speech technology.

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