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Quranic recitation is practiced by Muslim worldwide all year round. This tradition peaked when devotees tried to finish the whole book in the month of Ramadhan. Access to recorded and online audio recitation boosts this tradition. Yet the message in the Quranic verse is largely contain within its Arabic language. Translation text to Malay language has been made available by Abdullah Mohammad Basmeih since 1968. This effort naturally increases accessibility to Malay audience. This study aimed to further increase the accessibility of Quranic translation previously limited to traditional recording. AI-based Text-to-Speech (TTS) engine synthesized the audio of Malay translation as a technological approach aimed at enhancing accessibility to the Quran. The process includes collecting Malay Quranic translation by Abdulah Muhamad Basmieh for conversion of the text into AI voice using online TTS engine from www.luvvoice.com . Generated audio then cross check with input text. Finally, each verse is interleaved with Quran recitation by Sheikh Ibrahim Al-Akhtar to create a comprehensive and user-friendly experience. Male Malay AI voice, Osman was used to synthesized chapter The Cave (Al-Kahfi) containing 110 sentences and 3619 words was synthesized to create a 27 min 54 s audio. The time taken to synthesis is 249.57 s with page average of 20.80 s. The mispronounce error found for this chapter is 0.414% calculated over total 3619 words processed. Weak correlation between synthesis time to the number of sentences, words and synthesized audio length are 0.521, 0.303 and 0.316 respectively.

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Feasibility Study of AI Reading of Malay Text for Quranic Malay Translation Audio

  • 会议论文

  • 发表日期：

    2026年

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  • Abdul Hallis Abdul Aziz,
  • Faridah Hassan,
  • Robiyanti Adollah,
  • Alif Hasmani Abd Ghani,
  • Khairul Nizam Sultan Ali,
  • Siti Zuraidah Ibrahim,
  • Kamsani Md. Saad,
  • Arisa Nurailin Bustamam

摘要

Quranic recitation is practiced by Muslim worldwide all year round. This tradition peaked when devotees tried to finish the whole book in the month of Ramadhan. Access to recorded and online audio recitation boosts this tradition. Yet the message in the Quranic verse is largely contain within its Arabic language. Translation text to Malay language has been made available by Abdullah Mohammad Basmeih since 1968. This effort naturally increases accessibility to Malay audience. This study aimed to further increase the accessibility of Quranic translation previously limited to traditional recording. AI-based Text-to-Speech (TTS) engine synthesized the audio of Malay translation as a technological approach aimed at enhancing accessibility to the Quran. The process includes collecting Malay Quranic translation by Abdulah Muhamad Basmieh for conversion of the text into AI voice using online TTS engine from www.luvvoice.com . Generated audio then cross check with input text. Finally, each verse is interleaved with Quran recitation by Sheikh Ibrahim Al-Akhtar to create a comprehensive and user-friendly experience. Male Malay AI voice, Osman was used to synthesized chapter The Cave (Al-Kahfi) containing 110 sentences and 3619 words was synthesized to create a 27 min 54 s audio. The time taken to synthesis is 249.57 s with page average of 20.80 s. The mispronounce error found for this chapter is 0.414% calculated over total 3619 words processed. Weak correlation between synthesis time to the number of sentences, words and synthesized audio length are 0.521, 0.303 and 0.316 respectively.