Search Results - (( vowel classification methods algorithm ) OR ( java segmentation using algorithm ))
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1
Multinomial logistic regression probability ratio-based feature vectors for Malay vowel recognition
Published 2021“…FELT algorithm transforms 39-MFCC FVs using logistic transformation method into FELT FVs. …”
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Thesis -
2
Voiceless Bangla vowel recognition using sEMG signal
Published 2016“…After that, these prominent features subset is applied in the Artificial Neural Network for vowel classification. This novel Bangla vowel classification method can offer a significant contribution in voice synthesis as well as in speech communication. …”
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3
Rule-based embedded HMMs phoneme classification to improve Qur’anic recitation recognition
Published 2022“…This paper introduces a Rule-Based Phoneme Duration Algorithm to improve phoneme classification in Qur’anic recitation. …”
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4
Study of noise robustness of First Formant Bandwidth (F1BW) method
Published 2011“…Applications that use vowel phonemes require high degree of Standard Malay vowel recognition capability.In Malaysia, researches in vowel recognition is still lacking especially in the usage of Malay vowels, independent speaker systems, recognition robustness and algorithm speed and accuracy. …”
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Conference or Workshop Item -
5
Improving automatic forced alignment for phoneme segmentation in Quranic recitation
Published 2024“…The findings affirm that the classic forced alignment method produces satisfactory outcomes when employed on verses lacking long vowels. …”
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6
Discriminative feature representation for Malay children’s speech recognition / Seyedmostafa Mirhassani
Published 2015“…Third method is a combination of the first and the second methods based on a hierarchical classification manner. …”
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7
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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8
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Book -
9
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper
