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Detection of Prosodic Boundaries in Speech Using Wav2Vec 2.0

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965697" target="_blank" >RIV/49777513:23520/22:43965697 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-16270-1_31" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-16270-1_31</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-16270-1_31" target="_blank" >10.1007/978-3-031-16270-1_31</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of Prosodic Boundaries in Speech Using Wav2Vec 2.0

  • Original language description

    Prosodic boundaries in speech are of great relevance to both speech synthesis and audio annotation. In this paper, we apply the wav2vec 2.0 framework to the task of detecting these boundaries in speech signal, using only acoustic information. We test the approach on a set of recordings of Czech broadcast news, labeled by phonetic experts, and compare it to an existing text-based predictor, which uses the transcripts of the same data. Despite using a relatively small amount of labeled data, the wav2vec2 model achieves an accuracy of 94% and F1 measure of 83% on within-sentence prosodic boundaries (or 95% and 89% on all prosodic boundaries), outperforming the text-based approach. However, by combining the outputs of the two different models we can improve the results even further.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/GA21-14758S" target="_blank" >GA21-14758S: Prosodic Phrase in Current Spoken Czech: Meaning, Balance, Stochastic Patterns</a><br>

  • Continuities

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

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings

  • ISBN

    978-3-031-16269-5

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    12

  • Pages from-to

    377-388

  • Publisher name

    Springer International Publishing

  • Place of publication

    Cham

  • Event location

    Brno, Czech Republic

  • Event date

    Sep 6, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article