Speaker recognition based on Hidden Markov Model
In this paper, a method for implementing speaker recognition system using the discrete Hidden Markov Model. This method uses a statistical approach in characterizing speech. The speech utterance is fit into a probabilistic framework, which consist of transition of states and discrete observable sequ...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2000
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| Subjects: | |
| Online Access: | http://eprints.utm.my/10995/1/SheikhHussainShaikhSalleh2000SpeakerRecognitionBasedonHiddenMarkov.pdf |
| _version_ | 1825910590513610752 |
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| author | Shaikh Salleh, Sheikh Hussain Sha'arneri, Ahmad Zuri Yusoff, Zulkamain AI-Attas, Syed Abdul Rahman Lim, Soon Chieh Abdul Rahman, Ahmad Idil Mat Tahir, Shahirina |
| author_facet | Shaikh Salleh, Sheikh Hussain Sha'arneri, Ahmad Zuri Yusoff, Zulkamain AI-Attas, Syed Abdul Rahman Lim, Soon Chieh Abdul Rahman, Ahmad Idil Mat Tahir, Shahirina |
| author_sort | Shaikh Salleh, Sheikh Hussain |
| collection | ePrints |
| description | In this paper, a method for implementing speaker recognition system using the discrete Hidden Markov Model. This method uses a statistical approach in characterizing speech. The speech utterance is fit into a probabilistic framework, which consist of transition of states and discrete observable sequences. The system is then applied to recognition of isolated Bahasa Melayu digits, that is 'kosong', 'satu', 'dua', 'tiga', 'empat', 'lima', 'enam', 'tujuh', 'lapan', and ·sembilan'. Experiments were done to evaluate the system's perfomance on speaker recognition. which can be further divided into speaker identification and speaker verification. Speaker recognition, experiments were performed to evaluate the performance of the system with 30 speakers (22 impostors and 8 clients). The identification error was 2%, the false acceptance rate was 28% and the false rejection rate was 1%. |
| first_indexed | 2024-03-05T18:19:21Z |
| format | Conference or Workshop Item |
| id | utm.eprints-10995 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:19:21Z |
| publishDate | 2000 |
| record_format | dspace |
| spelling | utm.eprints-109952010-11-19T02:34:50Z http://eprints.utm.my/10995/ Speaker recognition based on Hidden Markov Model Shaikh Salleh, Sheikh Hussain Sha'arneri, Ahmad Zuri Yusoff, Zulkamain AI-Attas, Syed Abdul Rahman Lim, Soon Chieh Abdul Rahman, Ahmad Idil Mat Tahir, Shahirina TK Electrical engineering. Electronics Nuclear engineering In this paper, a method for implementing speaker recognition system using the discrete Hidden Markov Model. This method uses a statistical approach in characterizing speech. The speech utterance is fit into a probabilistic framework, which consist of transition of states and discrete observable sequences. The system is then applied to recognition of isolated Bahasa Melayu digits, that is 'kosong', 'satu', 'dua', 'tiga', 'empat', 'lima', 'enam', 'tujuh', 'lapan', and ·sembilan'. Experiments were done to evaluate the system's perfomance on speaker recognition. which can be further divided into speaker identification and speaker verification. Speaker recognition, experiments were performed to evaluate the performance of the system with 30 speakers (22 impostors and 8 clients). The identification error was 2%, the false acceptance rate was 28% and the false rejection rate was 1%. 2000-11 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/10995/1/SheikhHussainShaikhSalleh2000SpeakerRecognitionBasedonHiddenMarkov.pdf Shaikh Salleh, Sheikh Hussain and Sha'arneri, Ahmad Zuri and Yusoff, Zulkamain and AI-Attas, Syed Abdul Rahman and Lim, Soon Chieh and Abdul Rahman, Ahmad Idil and Mat Tahir, Shahirina (2000) Speaker recognition based on Hidden Markov Model. In: Natiaonal Conference on Telecommunication Technology 2000, 20th - 21st Nov. 2000, Hyatt Regency Hotel, Johor Bahru. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Shaikh Salleh, Sheikh Hussain Sha'arneri, Ahmad Zuri Yusoff, Zulkamain AI-Attas, Syed Abdul Rahman Lim, Soon Chieh Abdul Rahman, Ahmad Idil Mat Tahir, Shahirina Speaker recognition based on Hidden Markov Model |
| title | Speaker recognition based on Hidden Markov Model |
| title_full | Speaker recognition based on Hidden Markov Model |
| title_fullStr | Speaker recognition based on Hidden Markov Model |
| title_full_unstemmed | Speaker recognition based on Hidden Markov Model |
| title_short | Speaker recognition based on Hidden Markov Model |
| title_sort | speaker recognition based on hidden markov model |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/10995/1/SheikhHussainShaikhSalleh2000SpeakerRecognitionBasedonHiddenMarkov.pdf |
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