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A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU142915" target="_blank" >RIV/00216305:26230/21:PU142915 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/12523/" target="_blank" >https://www.fit.vut.cz/research/publication/12523/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICASSP39728.2021.9414899" target="_blank" >10.1109/ICASSP39728.2021.9414899</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery

  • Original language description

    In this work, we propose a hierarchical subspace model for acoustic unit discovery. In this approach, we frame the task as one of learning embeddings on a low-dimensional phonetic subspace, and simultaneously specify the subspace itself as an embedding on a hyper- subspace. We train the hyper-subspace on a set of transcribed languages and transfer it to the target language. In the target language, we infer both the language and unit embeddings in an unsupervised manner, and in so doing, we simultaneously learn a subspace of units specific to that language and the units that dwell on it. We conduct experiments on TIMIT and two low-resource languages: Mboshi and Yoruba. Results show that our model outperforms major acoustic unit discovery techniques, both in terms of clustering quality and segmentation accuracy.

  • 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

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

  • ISBN

    978-1-7281-7605-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    3710-3714

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Toronto, Ontario

  • Event location

    Toronto, Canada

  • Event date

    Jun 6, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000704288403193