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Analysis of Malay Speech Recognition for Different Speaker Origins.

, , and . IALP, page 229-232. IEEE Computer Society, (2012)

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Improving Speaker Diarization for Low-Resourced Sarawak Malay Language Conversational Speech Corpus., , and . IALP, page 228-233. IEEE, (2023)Merging of Native and Non-native Speech for Low-resource Accented ASR., , , and . SLSP, volume 9449 of Lecture Notes in Computer Science, page 255-266. Springer, (2015)Using closely-related language to build an ASR for a very under-resourced language: Iban., , , and . O-COCOSDA, page 1-5. IEEE, (2014)Identifying Relation Between Miriek and Kenyah Badeng Language by Using Morphological Analyzer., , and . IALP, page 116-121. IEEE, (2022)Analysis of Malay Speech Recognition for Different Speaker Origins., , and . IALP, page 229-232. IEEE Computer Society, (2012)Semi-supervised G2p bootstrapping and its application to ASR for a very under-resourced language: Iban., , and . SLTU, page 66-72. ISCA, (2014)Adopting Malay Syllable Structure for Syllable Based Speech Synthesizer for Iban and Bidayuh Languages., , , , and . IALP, page 216-219. IEEE Computer Society, (2011)Using resources from a closely-related language to develop ASR for a very under-resourced language: a case study for iban., , , and . INTERSPEECH, page 1270-1274. ISCA, (2015)Exploiting resources from closely-related languages for automatic speech recognition in low-resource languages from Malaysia. (Utilisation de ressources dans une langue proche pour la reconnaissance automatique de la parole pour les langues peu dotées de Malaisie).. Grenoble Alpes University, France, (2015)