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Compensation of Nonlinear Distortions in Speech for Automatic Recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F14%3A%230002972" target="_blank" >RIV/46747885:24220/14:#0002972 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Compensation of Nonlinear Distortions in Speech for Automatic Recognition

  • Original language description

    This paper addresses improvement of automatic transcription of speech distorted already during recording or by consequent processing. We focus on distortions that cannot be represented by most often used models, that is, as an additive noise or a linearconvolutive channel distortion. We consider a) signals distorted through overgained microphone preamplifier and b) recordings exhibiting unnatural spectral sparseness, caused by application of excessive denoising or low-bit-rate compression. We demonstrate that these distortions deteriorate ASR accuracy significantly. To compensate, we propose to employ a combination of two general robust speech recognition techniques: a front-end feature normalization method and a channel/speaker adaptation technique.We present a significant improvement of transcription accuracy in the case of lectures distorted during recording, compressed broadcast data and utterances recorded with an inappropriately applied denoising.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/TA01011142" target="_blank" >TA01011142: Automatic transcription and indexation of lectures</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proc. of Telecommunications and Signal Processing (TSP) conference

  • ISBN

    978-80-214-4983-1

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    419-423

  • Publisher name

    IEEE

  • Place of publication

    Berlín, Německo

  • Event location

    Berlín, Německo

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article