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Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU154969" target="_blank" >RIV/00216305:26230/24:PU154969 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.isca-archive.org/interspeech_2024/yusuf24_interspeech.pdf" target="_blank" >https://www.isca-archive.org/interspeech_2024/yusuf24_interspeech.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21437/Interspeech.2024-298" target="_blank" >10.21437/Interspeech.2024-298</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models

  • Original language description

    This paper explores speculative speech recognition (SSR), where we empower conventional automatic speech recognition (ASR) with speculation capabilities, allowing the recognizer to run ahead of audio. We introduce a metric for measuring SSR performance and we propose a model which does SSR by com bining a RNN-Transducer-based ASR system with an audioprefixed language model (LM). The ASR system transcribes ongoing audio and feeds the resulting transcripts, along with an audiodependent prefix, to the LM, which speculates likely completions for the transcriptions. We experiment with a variety of ASR datasets on which show the efficacy our method and the feasibility of SSR as a method of reducing ASR latency.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • 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 Interspeech 2024

  • ISBN

  • ISSN

    1990-9772

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    792-796

  • Publisher name

    International Speech Communication Association

  • Place of publication

    Kos

  • Event location

    Kos

  • Event date

    Sep 1, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article