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Optimization of Speaker-aware Multichannel Speech Extraction with ASR Criterion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130736" target="_blank" >RIV/00216305:26230/18:PU130736 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11722" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11722</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICASSP.2018.8461533" target="_blank" >10.1109/ICASSP.2018.8461533</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimization of Speaker-aware Multichannel Speech Extraction with ASR Criterion

  • Original language description

    This paper addresses the problem of recognizing speech corrupted by overlapping speakers in a multichannel setting. To extract a target speaker from the mixture, we use a neural network based beamformer which uses masks estimated by a neural network to compute statistically optimal spatial filters. Following our previous work, we inform the neural network about the target speaker using information extracted from an adaptation utterance, enabling the network to track the target speaker. While in the previous work, this method was used to separately extract the speaker and then pass such preprocessed speech to a speech recognition system, here we explore training both systems jointly with a common speech recognition criterion. We show that integrating the two systems and training for the final objective improves the performance. In addition, the integration enables further sharing of information between the acoustic model and the speaker extraction system, by making use of the predicted HMMstate posteriors to refine the masks used for beamforming.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of ICASSP 2018

  • ISBN

    978-1-5386-4658-8

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    6702-6706

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Calgary

  • Event location

    Calgary

  • Event date

    Apr 15, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000446384606172