Towards an accurate speaker-independent Holy Quran acoustic model
The popularity of speech recognition tools keeps increasing with the processing power of mobile devices. The use of speech recognition for the Arabic in general and the Holy Quran, in particular, has also followed the same trend. Holy Quran speech recognition systems have been developed by incre...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/66925/ http://irep.iium.edu.my/66925/ http://irep.iium.edu.my/66925/ http://irep.iium.edu.my/66925/1/66925_Towards%20an%20Accurate%20Speaker-Independent%20Holy%20Quran%20_conference%20article.pdf http://irep.iium.edu.my/66925/2/66925_Towards%20an%20Accurate%20Speaker-Independent%20Holy%20Quran%20_scopus.pdf |
| Summary: | The popularity of speech recognition tools keeps
increasing with the processing power of mobile devices. The use of
speech recognition for the Arabic in general and the Holy Quran,
in particular, has also followed the same trend. Holy Quran speech
recognition systems have been developed by increasing the
training data. In this paper, a more accurate Carnegie Melon
University Sphinx acoustic model was trained for the Holy Quran
chapters 001, and 067 to 114. When more efforts were put into
having a more accurate training data, the resulting Word Error
Rate of trained acoustic model reached around 15%. |
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