Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Improving Speaker Identification Performance Under the Shouted Talking Condition Using the Second-Order Hidden Markov Models | EURASIP Journal on Applied Signal Processing 2005 4 482-486 2005 Hindawi Publishing Corporation Improving Speaker Identification Performance Under the Shouted Talking Condition Using the Second-Order Hidden Markov Models Ismail Shahin Electrical Electronics and Computer Engineering Department University of Sharjah P. O. Box 27272 Sharjah United Arab Emirates Email ismail@ Received 13 June 2004 Revised 22 September 2004 Recommended for Publication by Chin-Hui Lee Speaker identification systems perform well under the neutral talking condition however they suffer sharp degradation under the shouted talking condition. In this paper the second-order hidden Markov models HMM2s have been used to improve the recognition performance of isolated-word text-dependent speaker identification systems under the shouted talking condition. Our results show that HMM2s significantly improve the speaker identification performance compared to the first-order hidden Markov models HMM1s . The average speaker identification performance under the shouted talking condition based on HMM1s is 23 . On the other hand the average speaker identification performance based on HMM2s is 59 . Keywords and phrases first-order hidden Markov models second-order hidden Markov models shouted talking condition speaker identification performance. 1. MOTIVATION Stressful talking conditions are defined as talking conditions that cause a speaker to vary his her production of speech from the neutral talking condition. The neutral talking condition is defined as the talking condition in which speech is produced assuming that the speaker is in a quiet room with no task obligations. Some talking conditions are designed to simulate speech produced by different speakers under real stressful talking conditions. Hansen Cummings and Clements used speech under simulated and actual stress SUSAS database in which eight talking styles are used to simulate the speech produced under real stressful talking .
