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The main motivation of this paper is to improve the automatic speech recognition (ASR) hypothesis in the Malay language. Manual news transcription is too expensive and takes a long time. Hence, without an ASR system, access to audio archives and searches within them would be restricted to the limited number of textual documents that have been manually transcribed by humans or indexed with keywords...
In this paper, we present BASRAH, a system that automatically identifies the meter of Arabic verse, which is an operation that requires a certain level of human expertise. BASRAH uses the numerical prosody method, which depends on verse coding that is derived from the general concept of al-Khalil's feet through using the two primary units (cord=2 and peg=3). BASRAH has proved to be an efficient tool...
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