Publicación:
Automatic Speech Recognition of Quechua Language Using HMM Toolkit

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dc.contributor.author Zevallos R. es_PE
dc.contributor.author Cordova J. es_PE
dc.contributor.author Camacho L. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2020
dc.description.abstract In this paper, we present the implementation of an Automatic Speech Recognition system (ASR) for southern Quechua language. The software can recognize both continuous speech and isolated words. The ASR was developed using Hidden Markov Model Toolkit (HTK) and the corpus collected by Siminchikkunarayku. A dictionary provides the system with a mapping of vocabulary words to sequences of phonemes; the audio files were processed to extract the speech feature vectors (MFCC) and then, the acoustic model was trained using the MFCC files until its convergence. The paper also describes a detailed architecture of an ASR system developed using HTK library modules and tools. The ASR was tested using the audios recorded by volunteers obtaining a 12.70% word error rate. © Springer Nature Switzerland AG 2020.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1007/978-3-030-46140-9_6
dc.identifier.scopus 2-s2.0-85084804619
dc.identifier.uri https://hdl.handle.net/20.500.12390/2613
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartof Communications in Computer and Information Science
dc.rights info:eu-repo/semantics/openAccess
dc.subject Quechua
dc.subject ASR es_PE
dc.subject Endangered languages es_PE
dc.subject HMM es_PE
dc.subject HTK es_PE
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#2.11.02
dc.title Automatic Speech Recognition of Quechua Language Using HMM Toolkit
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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