Detail publikace

Resources and Benchmarks for Keyword Search in Spoken Audio From Low-Resource Indian Languages

NADIMPALLI, V. KESIRAJU, S. BANKA, R. KETHIREDDY, R. GANGASHETTY, S.

Originální název

Resources and Benchmarks for Keyword Search in Spoken Audio From Low-Resource Indian Languages

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

This paper presents the resources and benchmarks developed for keyword search (KWS) in spoken audio from six low-resource Indian languages (from two families), namely Gujarati, Hindi, Marathi, Odia, Tamil, and Telugu. The current work on constructing keywords and building benchmark KWS systems is inspired by the popular IARPA Babel program and the subsequent works on low-resource KWS. The keywords are constructed by taking into account their properties i.e., occurrence, length, and average confusability; and their effects on the evaluation metric - the term-weighted value (TWV).We make use of freely available speech datasets, and reprocess them to create resources for KWS, thereby adding value to the existing speech resources. Four ASR-based KWS systems are built, and their performance is analyzed across the three keyword properties on all the six languages. The prepared keywords and other related resources to replicate our experiments are made available for the public.We believe that the analysis and guidelines provided in this paper will not only help the research community, but also practitioners and engineers to easily create KWS resources for newer languages, datasets, and scenarios.

Klíčová slova

Keyword search, low-resource languages, term-weighted value (TWV)

Autoři

NADIMPALLI, V.; KESIRAJU, S.; BANKA, R.; KETHIREDDY, R.; GANGASHETTY, S.

Vydáno

28. 3. 2022

ISSN

2169-3536

Periodikum

IEEE Access

Ročník

10

Číslo

2022

Stát

Spojené státy americké

Strany od

34789

Strany do

34799

Strany počet

11

URL

https://ieeexplore.ieee.org/document/9743904

BibTex

@article{BUT182528,
  author="NADIMPALLI, V. and KESIRAJU, S. and BANKA, R. and KETHIREDDY, R. and GANGASHETTY, S.",
  title="Resources and Benchmarks for Keyword Search in Spoken Audio From Low-Resource Indian Languages",
  journal="IEEE Access",
  year="2022",
  volume="10",
  number="2022",
  pages="34789--34799",
  doi="10.1109/ACCESS.2022.3162854",
  issn="2169-3536",
  url="https://ieeexplore.ieee.org/document/9743904"
}