Development of Parallel Speech Data Repository for Ho Language
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Development of Parallel Speech Data Repository for Ho Language
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
C - Chapter in a specialist book
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
—
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Applying AI-Based Tools and Technologies Towards Revitalization of Indigenous and Endangered Languages
ISBN
978-981-9719-86-0
Number of pages of the result
13
Pages from-to
123-135
Number of pages of the book
220
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
—
UT code for WoS chapter
—