Open-Source Speech Corpus and Initial Speech Recognition Experiments

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dc.creatorA.A. Rakhmanov
dc.date2022-08-31
dc.date.accessioned2023-08-21T08:00:32Z
dc.date.available2023-08-21T08:00:32Z
dc.descriptionWe present a speech corpus and report preliminary results of automatic speech recognition (ASR) using a hidden deep neural network Markov model (DNNHMM) and an end-to-end (E2E) architecture.en-US
dc.formatapplication/pdf
dc.identifierhttps://journals.researchparks.org/index.php/IJHCS/article/view/3578
dc.identifier.urihttp://dspace.umsida.ac.id/handle/123456789/16229
dc.languageeng
dc.publisherResearch Parks Publishing LLCen-US
dc.relationhttps://journals.researchparks.org/index.php/IJHCS/article/view/3578/3421
dc.sourceInternational Journal of Human Computing Studies; Vol. 4 No. 8 (2022): IJHCS; 4-6en-US
dc.source2615-8159
dc.source2615-1898
dc.source10.31149/ijhcs.v4i8
dc.subjectspeech corpus, E2E, USC, ASR, USC, DNN-HMM, WERen-US
dc.titleOpen-Source Speech Corpus and Initial Speech Recognition Experimentsen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Articleen-US
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