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This paper explores speech recognition performance for Malay language with multi accents from speakers of different origins or ethnicities. Accented speech imposes accuracy problem in automatic speech recognition systems. This frequently occurs to non-native speakers of a language due to insufficiency of the non-natives data in the recognizers. In this study, we investigate the mentioned problem by...
In this paper, we propose a novel approach to automatic recognition of code-switching speech. The proposed method consists of two phases: automatic speech recognition, and rescoring. The framework uses parallel automatic speech recognizers for speech recognition. The lattices produced are subsequently joined and rescored to estimate the most probable word sequence. Experiment shows that the proposed...
Malay is a language from the Austronesian family. Malay is the official language in Malaysia, Indonesia, Singapore, and Brunei. However, Malay spoken in different countries, and even within a country itself might vary in terms of pronunciation and vocabulary from one place to another. The Malay dialects in Malaysia can be grouped according to the states of the country. In this paper, we propose the...
In this paper, we proposed an approach to model the pronunciation of Malaysian English for automatic speech recognition. The proposed method consists of two phases: phones adaptation and pronunciation generalization. In the first phase of phones adaptation, we identify the English phonemes used by Malaysian speakers by carrying out perception test, and then the mismatch due to the influenced of the...
We present in this paper an approach based on the use of the International Phonetic Alphabet (IPA) for content-based indexing and retrieval of multilingual audiovisual documents. The approach works even if the languages of the document are unknown. It has been validated in the context of the "Star Challenge" search engine competition organized by the Agency for Science, Technology and Research...
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