Development of Parallel Speech Data Repository for Ho Language

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AMR2QIZHS" target="_blank" >RIV/00216208:11320/25:MR2QIZHS - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192779604&doi=10.1007%2f978-981-97-1987-7_10&partnerID=40&md5=6f70495f160fc7d663174a6ad80f9b53" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192779604&doi=10.1007%2f978-981-97-1987-7_10&partnerID=40&md5=6f70495f160fc7d663174a6ad80f9b53</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-97-1987-7_10" target="_blank" >10.1007/978-981-97-1987-7_10</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Development of Parallel Speech Data Repository for Ho Language

Popis výsledku v původním jazyce

The Ho language, which belongs to the Austroasiatic language of Munda family, is their primary means of communication with the Ho tribe. The Ho tribe is an Indigenous community that primarily inhabits the Indian states of Odisha, Jharkhand, West Bengal, Assam, and Chhattisgarh. Their population is 5 million. Warang Chiti is the script for writing Ho language. Pandit Lako Bodra discovered Warang Chiti Script in 1954. Speech recognition systems are a necessity in our modern society. They provide accessibility for individuals with disabilities, enhance productivity through hands-free operation, enable multilingual communication, support voice control and automation, improve user experiences, offer valuable data insights, enhance driving safety, and advance natural language processing capabilities. Developing an automatic speech recognition (ASR) system for the Ho community involves collecting and pre-processing speech data, followed by training a specialized model for accurate speech recognition and transcription in the Ho language. After collecting the speech data from Ho community and pre-processing the existing data, will prepare an ASR for Ho community. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Název v anglickém jazyce

Development of Parallel Speech Data Repository for Ho Language

Popis výsledku anglicky

The Ho language, which belongs to the Austroasiatic language of Munda family, is their primary means of communication with the Ho tribe. The Ho tribe is an Indigenous community that primarily inhabits the Indian states of Odisha, Jharkhand, West Bengal, Assam, and Chhattisgarh. Their population is 5 million. Warang Chiti is the script for writing Ho language. Pandit Lako Bodra discovered Warang Chiti Script in 1954. Speech recognition systems are a necessity in our modern society. They provide accessibility for individuals with disabilities, enhance productivity through hands-free operation, enable multilingual communication, support voice control and automation, improve user experiences, offer valuable data insights, enhance driving safety, and advance natural language processing capabilities. Developing an automatic speech recognition (ASR) system for the Ho community involves collecting and pre-processing speech data, followed by training a specialized model for accurate speech recognition and transcription in the Ho language. After collecting the speech data from Ho community and pre-processing the existing data, will prepare an ASR for Ho community. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Applying AI-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages

ISBN

978-981-9719-86-0

Počet stran výsledku

13

Strana od-do

123-135

Počet stran knihy

220

Název nakladatele

Springer Science and Business Media Deutschland GmbH

Místo vydání

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Kód UT WoS kapitoly

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