Cost-Sensitive Learning for Emotion Robust Speaker Recognition
In the field of information security, voice is one of the most important parts in biometrics. Especially, with the development of voice communication through the Internet or telephone system, huge voice data resources are accessed. In speaker recognition, voiceprint can be applied as the unique pass...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/628516 |
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| author | Dongdong Li Yingchun Yang Weihui Dai |
| author_facet | Dongdong Li Yingchun Yang Weihui Dai |
| author_sort | Dongdong Li |
| collection | DOAJ |
| description | In the field of information security, voice is one of the most important parts in biometrics. Especially, with the development of voice communication through the Internet or telephone system, huge voice data resources are accessed. In speaker recognition, voiceprint can be applied as the unique password for the user to prove his/her identity. However, speech with various emotions can cause an unacceptably high error rate and aggravate the performance of speaker recognition system. This paper deals with this problem by introducing a cost-sensitive learning technology to reweight the probability of test affective utterances in the pitch envelop level, which can enhance the robustness in emotion-dependent speaker recognition effectively. Based on that technology, a new architecture of recognition system as well as its components is proposed in this paper. The experiment conducted on the Mandarin Affective Speech Corpus shows that an improvement of 8% identification rate over the traditional speaker recognition is achieved. |
| format | Article |
| id | doaj-art-f7438edb6cff4e00bfb6a9dbefa7243e |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-f7438edb6cff4e00bfb6a9dbefa7243e2025-08-20T03:25:53ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/628516628516Cost-Sensitive Learning for Emotion Robust Speaker RecognitionDongdong Li0Yingchun Yang1Weihui Dai2School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, ChinaDepartment of Computer Science and Technology, Zhejiang University, No. 38, Yuquan Road, Zhejiang 310027, ChinaSchool of Management, Fudan University, No. 220, Handan Road, Shanghai 200433, ChinaIn the field of information security, voice is one of the most important parts in biometrics. Especially, with the development of voice communication through the Internet or telephone system, huge voice data resources are accessed. In speaker recognition, voiceprint can be applied as the unique password for the user to prove his/her identity. However, speech with various emotions can cause an unacceptably high error rate and aggravate the performance of speaker recognition system. This paper deals with this problem by introducing a cost-sensitive learning technology to reweight the probability of test affective utterances in the pitch envelop level, which can enhance the robustness in emotion-dependent speaker recognition effectively. Based on that technology, a new architecture of recognition system as well as its components is proposed in this paper. The experiment conducted on the Mandarin Affective Speech Corpus shows that an improvement of 8% identification rate over the traditional speaker recognition is achieved.http://dx.doi.org/10.1155/2014/628516 |
| spellingShingle | Dongdong Li Yingchun Yang Weihui Dai Cost-Sensitive Learning for Emotion Robust Speaker Recognition The Scientific World Journal |
| title | Cost-Sensitive Learning for Emotion Robust Speaker Recognition |
| title_full | Cost-Sensitive Learning for Emotion Robust Speaker Recognition |
| title_fullStr | Cost-Sensitive Learning for Emotion Robust Speaker Recognition |
| title_full_unstemmed | Cost-Sensitive Learning for Emotion Robust Speaker Recognition |
| title_short | Cost-Sensitive Learning for Emotion Robust Speaker Recognition |
| title_sort | cost sensitive learning for emotion robust speaker recognition |
| url | http://dx.doi.org/10.1155/2014/628516 |
| work_keys_str_mv | AT dongdongli costsensitivelearningforemotionrobustspeakerrecognition AT yingchunyang costsensitivelearningforemotionrobustspeakerrecognition AT weihuidai costsensitivelearningforemotionrobustspeakerrecognition |