Model-based learning for Gaussian Mixture Model and its application on speaker identification
碩士 === 國立交通大學 === 資訊工程系 === 90 === This paper mainly discusses the learning of Gaussian Mixture Model and its application on speaker identification. In the previous studies, it has been shown that using GMM for speaker identification would perform well. But they do not discuss deeply abou...
Main Authors: | Shi-Sian Cheng, 鄭士賢 |
---|---|
Other Authors: | Hsin-Chia Fu |
Format: | Others |
Language: | zh-TW |
Published: |
2002
|
Online Access: | http://ndltd.ncl.edu.tw/handle/13954678953476046080 |
Similar Items
-
A Model-Selection-Based Self-Splitting Gaussian Mixture Learning with Application to Speaker Identification
by: Shih-Sian Cheng, et al.
Published: (2004-12-01) -
LEARNING VECTOR QUANTIZATION FOR ADAPTED GAUSSIAN MIXTURE MODELS IN AUTOMATIC SPEAKER IDENTIFICATION
by: IMEN TRABELSI, et al.
Published: (2017-05-01) -
Tree-based Gaussian mixture models for speaker verification
by: Cilliers, Francois Dirk
Published: (2006) -
A Gaussian mixture modeling approach to text-independent speaker identification
by: Reynolds, Douglas A.
Published: (2007) -
Adaptive Gaussian mixture model tuning with locality property on speaker identification
by: Shin-Shan Wu, et al.
Published: (2003)