An Investigation on Speaker Vector-Based Speaker Identification under Noisy Conditions
This paper presents the speaker identification method based on a speaker vector under noisy conditions. The aim of this work is to improve the performance of the speaker identification under noisy conditions. The identification system is based on the method of anchor models. In this system, the location of each speaker is represented by the speaker vector which consists of the set of the likelihood between a target utterance and the anchor models. Since the acoustic model of the target is not needed, speaker identification can be performed with a very short reference speech (5.5sec average). In order to achieve the improvement, the structure of anchor models was investigated. Evaluations were performed on 8 or 30-speaker identification task in Japanese. The results showed that a speaker identification rate of 70.98% has been obtained by using phonetic-class structured GMMs (pcs_GMMs) as anchor models under noisy conditions.
Yuki Goto Tatsuya Akatsu Masaharu Katoh Tetsuo Kosaka Masaki Kohda
Graduate School of Science and Engineering, Yamagata University
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
1430-1435
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）