Thai speech recognition using double filter banks for basic voice commanding
This paper describes the methodology to recognize Thai speech words by integrating two approaches e.g., Double filter banks and Euclidian distance in a feature extraction and the recognition processes, respectively. Firstly, the speech signals are transformed into the 3-dimension of signal or spectr...
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th-mahidol.289632018-09-24T15:59:09Z Thai speech recognition using double filter banks for basic voice commanding Pisit Phokharatkul Kriengkrai Nantanitikorn Supachai Phaiboon Mahidol University Computer Science Engineering This paper describes the methodology to recognize Thai speech words by integrating two approaches e.g., Double filter banks and Euclidian distance in a feature extraction and the recognition processes, respectively. Firstly, the speech signals are transformed into the 3-dimension of signal or spectrogram. The spectrogram displays energy information along both time and frequency axes. Secondly, the frequencies to be within the bin spread and correlated them with each triangular filter. Thus, each bin holds a weighted sum, and represents the spectral magnitude in that filter bank channel. Finally, the filter banks are normalized into the normalized bank for comparison between the entry signal of word and various words of dictionary. The Euclidian distance is used to measure the similarity between them. The system was evaluated for its accuracy and stability in performing various conditions. The accuracy was tested with 9, 000 speeches from several volunteers. The average accuracy rate is about 96.3 %. The results show that the evaluation was beyond satisfaction for every aspect. © 2010 IEEE. 2018-09-24T08:56:18Z 2018-09-24T08:56:18Z 2010-12-16 Conference Paper 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010. Vol.6, (2010), 33-36 10.1109/CMCE.2010.5609930 2-s2.0-78650012404 https://repository.li.mahidol.ac.th/handle/123456789/28963 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78650012404&origin=inward |
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Computer Science Engineering Pisit Phokharatkul Kriengkrai Nantanitikorn Supachai Phaiboon Thai speech recognition using double filter banks for basic voice commanding |
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This paper describes the methodology to recognize Thai speech words by integrating two approaches e.g., Double filter banks and Euclidian distance in a feature extraction and the recognition processes, respectively. Firstly, the speech signals are transformed into the 3-dimension of signal or spectrogram. The spectrogram displays energy information along both time and frequency axes. Secondly, the frequencies to be within the bin spread and correlated them with each triangular filter. Thus, each bin holds a weighted sum, and represents the spectral magnitude in that filter bank channel. Finally, the filter banks are normalized into the normalized bank for comparison between the entry signal of word and various words of dictionary. The Euclidian distance is used to measure the similarity between them. The system was evaluated for its accuracy and stability in performing various conditions. The accuracy was tested with 9, 000 speeches from several volunteers. The average accuracy rate is about 96.3 %. The results show that the evaluation was beyond satisfaction for every aspect. © 2010 IEEE. |
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Mahidol University |
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Mahidol University Pisit Phokharatkul Kriengkrai Nantanitikorn Supachai Phaiboon |
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Conference or Workshop Item |
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Pisit Phokharatkul Kriengkrai Nantanitikorn Supachai Phaiboon |
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Pisit Phokharatkul |
title |
Thai speech recognition using double filter banks for basic voice commanding |
title_short |
Thai speech recognition using double filter banks for basic voice commanding |
title_full |
Thai speech recognition using double filter banks for basic voice commanding |
title_fullStr |
Thai speech recognition using double filter banks for basic voice commanding |
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Thai speech recognition using double filter banks for basic voice commanding |
title_sort |
thai speech recognition using double filter banks for basic voice commanding |
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2018 |
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https://repository.li.mahidol.ac.th/handle/123456789/28963 |
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1763494493102800896 |