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Convolutional Neural Network in the Task of Speaker Change Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929716" target="_blank" >RIV/49777513:23520/16:43929716 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-319-43958-7_22" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-43958-7_22</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-43958-7_22" target="_blank" >10.1007/978-3-319-43958-7_22</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Convolutional Neural Network in the Task of Speaker Change Detection

  • Original language description

    This paper presents an approach to detect speaker changes in telephone conversations. The speaker change problem is presented as a classification problem. We use a Convolutional Neural Network to analyze short audio segments. The Network plays a role of a regressor. It outputs higher values for segments that are more likely to contain a speaker change. Upon thresholding the regressed value the decision about the segment is made. The experiment shows that the Convolutional Neural Network outperforms a baseline system based on the Bayesian Information Criterion. It behaves very well on previously unseen data produced by previously unheard speakers.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Speech and Computer 18th International Conference, SPECOM 2016, Budapest, Hungary, August 23-27, 2016, Proceedings

  • ISBN

    978-3-319-43957-0

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    191-198

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Budapesť, Maďarsko

  • Event date

    Aug 23, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000389335600022