Detail publikace

Written Term Detection Improves Spoken Term Detection

YUSUF, B. SARAÇLAR, M.

Originální název

Written Term Detection Improves Spoken Term Detection

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

End-to-end (E2E) approaches to keyword search (KWS) are considerably simpler in terms of training and indexing complexity when compared to approaches which use the output of automatic speech recognition (ASR) systems. This simplification however has drawbacks due to the loss of modularity. In partic- ular, where ASR-based KWS systems can benefit from external unpaired text via a language model, current formulations of E2E KWS systems have no such mechanism. Therefore, in this paper, we propose a multitask training objective which allows unpaired text to be integrated into E2E KWS without complicating indexing and search. In addition to training an E2E KWS model to retrieve text queries from spoken documents, we jointly train it to retrieve text queries from masked written documents. We show empirically that this approach can effectively leverage unpaired text for KWS, with significant improvements in search performance across a wide variety of languages. We conduct analysis which indicates that these improvements are achieved because the proposed method improves document representations for words in the unpaired text. Finally, we show that the proposed method can be used for domain adaptation in settings where in-domain paired data is scarce or nonexistent.

Klíčová slova

Keyword search, spoken term detection, keyword spotting, end-to-end keyword search, multitask learning, domain adaptation, masked language modeling.

Autoři

YUSUF, B.; SARAÇLAR, M.

Vydáno

25. 6. 2024

ISSN

2329-9290

Periodikum

IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING

Ročník

32

Číslo

06

Stát

Spojené státy americké

Strany od

3213

Strany do

3223

Strany počet

11

URL

https://ieeexplore.ieee.org/document/10571348

BibTex

@article{BUT193391,
  author="YUSUF, B. and SARAÇLAR, M.",
  title="Written Term Detection Improves Spoken Term Detection",
  journal="IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING",
  year="2024",
  volume="32",
  number="06",
  pages="3213--3223",
  doi="10.1109/TASLP.2024.3407476",
  issn="2329-9290",
  url="https://ieeexplore.ieee.org/document/10571348"
}

Dokumenty

yusuf_2024_Written_Term_Detection_Improves_Spoken_Term_Detection.pdf