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Lightweight online punctuation and capitalization restoration for streaming ASR systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F25%3A00014132" target="_blank" >RIV/46747885:24220/25:00014132 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0167639325000846?pes=vor&utm_source=clarivate&getft_integrator=clarivate" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0167639325000846?pes=vor&utm_source=clarivate&getft_integrator=clarivate</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.specom.2025.103269" target="_blank" >10.1016/j.specom.2025.103269</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Lightweight online punctuation and capitalization restoration for streaming ASR systems

  • Original language description

    This work proposes a lightweight online approach to automatic punctuation and capitalization restoration (APCR). Our method takes pure text as input and can be utilized in real-time speech transcription systems for, e.g., live captioning of TV or radio streams. We develop and evaluate it in a series of consecutive experiments, starting with the task of automatic punctuation restoration (APR). Within that, we also compare our results to another real-time APR method, which combines textual and acoustic features. The test data that we use for this purpose contains automatic transcripts of radio talks and TV debates. In the second part of the paper, we extend our method towards the task of automatic capitalization restoration (ACR). The resulting approach uses two consecutive ELECTRA-small models complemented by simple classification heads; the first ELECTRA model restores punctuation, while the second performs capitalization. Our complete system allows for restoring question marks, commas, periods, and capitalization with a very short inference time and a low latency of just four words. We evaluate its performance for Czech and German, and also compare its results to those of another existing APCR system for English. We are also publishing the data used for our evaluation and testing.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10307 - Acoustics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    SPEECH COMMUNICATION>

  • ISSN

    0167-6393

  • e-ISSN

  • Volume of the periodical

    173

  • Issue of the periodical within the volume

    SEP

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    4

  • Pages from-to

  • UT code for WoS article

    001529336100001

  • EID of the result in the Scopus database

    2-s2.0-105009904852