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

Author
K. E., Manjunath [Browse]
Format
Book
Language
English
Published/​Created
Cham : Springer, [2022]
Description
xiv, 103 pages : illustrations (some color) ; 24 cm.

Availability

Copies in the Library

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Engineering Library - Stacks TK7895.S65 K4 2022 Browse related items Request

    Details

    Subject(s)
    Series
    • SpringerBriefs in electrical and computer engineering. Speech technology [More in this series]
    • SpringerBriefs in speech technology
    Summary note
    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.
    Bibliographic references
    Includes bibliographical references and index.
    ISBN
    • 3030807401 (paperback)
    • 9783030807405 (paperback)
    OCLC
    1255462810
    Statement on language in description
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