Robust digit recognition with dynamic time warping and recursive least squares
Robustness is a key issue in speech recognition. This paper proposes a speech recognition algorithm for Malay digits from 0 to 9. This paper also proposes an algorithm for noise cancellation by using recursive least squares (RLS). This system consists of speech processing inclusive of digit margin a...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/16587/ |
| _version_ | 1848843003315093504 |
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| author | Al-Haddad, Syed Abdul Rahman Ishak, Khairul Anuar Abdul Samad, Salina Abid, Ali O. Hussain, Noor Aini |
| author_facet | Al-Haddad, Syed Abdul Rahman Ishak, Khairul Anuar Abdul Samad, Salina Abid, Ali O. Hussain, Noor Aini |
| author_sort | Al-Haddad, Syed Abdul Rahman |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Robustness is a key issue in speech recognition. This paper proposes a speech recognition algorithm for Malay digits from 0 to 9. This paper also proposes an algorithm for noise cancellation by using recursive least squares (RLS). This system consists of speech processing inclusive of digit margin and recognition which uses zero crossing and energy calculations. Mel-Frequency Cepstral Coefficient (MFCC) vectors are used to provide an estimate of the vocal tract filter. Meanwhile dynamic time warping (DTW) is used to detect the nearest recorded voice with appropriate global constraint. The global constraint is used to set a valid search region because the variation of the speech rate of the speaker is considered to be limited in a reasonable range, which means that it can prune the unreasonable search space. The algorithm is tested on speech samples that are recorded as a part of a Malay corpus. The results show that the algorithm can recognize almost 80.5% of the Malay digits for all recorded words. By adding RLS noise canceller in the preprocessing stage it increases the accuracy to 92.3%. |
| first_indexed | 2025-11-15T08:08:07Z |
| format | Conference or Workshop Item |
| id | upm-16587 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T08:08:07Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-165872016-02-03T07:05:47Z http://psasir.upm.edu.my/id/eprint/16587/ Robust digit recognition with dynamic time warping and recursive least squares Al-Haddad, Syed Abdul Rahman Ishak, Khairul Anuar Abdul Samad, Salina Abid, Ali O. Hussain, Noor Aini Robustness is a key issue in speech recognition. This paper proposes a speech recognition algorithm for Malay digits from 0 to 9. This paper also proposes an algorithm for noise cancellation by using recursive least squares (RLS). This system consists of speech processing inclusive of digit margin and recognition which uses zero crossing and energy calculations. Mel-Frequency Cepstral Coefficient (MFCC) vectors are used to provide an estimate of the vocal tract filter. Meanwhile dynamic time warping (DTW) is used to detect the nearest recorded voice with appropriate global constraint. The global constraint is used to set a valid search region because the variation of the speech rate of the speaker is considered to be limited in a reasonable range, which means that it can prune the unreasonable search space. The algorithm is tested on speech samples that are recorded as a part of a Malay corpus. The results show that the algorithm can recognize almost 80.5% of the Malay digits for all recorded words. By adding RLS noise canceller in the preprocessing stage it increases the accuracy to 92.3%. 2008 Conference or Workshop Item PeerReviewed Al-Haddad, Syed Abdul Rahman and Ishak, Khairul Anuar and Abdul Samad, Salina and Abid, Ali O. and Hussain, Noor Aini (2008) Robust digit recognition with dynamic time warping and recursive least squares. In: International Symposium on Information Technology, 26-29 Aug. 2008, Kuala Lumpur, Malaysia. (pp. 1-8). 10.1109/ITSIM.2008.4631680 |
| spellingShingle | Al-Haddad, Syed Abdul Rahman Ishak, Khairul Anuar Abdul Samad, Salina Abid, Ali O. Hussain, Noor Aini Robust digit recognition with dynamic time warping and recursive least squares |
| title | Robust digit recognition with dynamic time warping and recursive least squares |
| title_full | Robust digit recognition with dynamic time warping and recursive least squares |
| title_fullStr | Robust digit recognition with dynamic time warping and recursive least squares |
| title_full_unstemmed | Robust digit recognition with dynamic time warping and recursive least squares |
| title_short | Robust digit recognition with dynamic time warping and recursive least squares |
| title_sort | robust digit recognition with dynamic time warping and recursive least squares |
| url | http://psasir.upm.edu.my/id/eprint/16587/ http://psasir.upm.edu.my/id/eprint/16587/ |