Abstract
In this paper, an information theoretic approach to selecting feature frames for speaker recognition systems is proposed. A conventional approach in which the frame shift is fixed to around half of the frame length may not be the best choice, because the characteristics of the speech signal may rapidly change, especially at phonetic boundaries. Experimental results show that the recognition accuracy increases if the frame interval is directly controlled using phonetic information. By applying these results to the well-known fact that the recognition accuracy is directly correlated with the amount of mutual information, this paper suggests a novel feature frame selection method for speaker recognition. Specifically, feature frames are chosen to have minimum-redundancy within selected feature frames, but maximum-relevancy to speaker models. It is verified by experiments that the proposed method produces consistent improvement, especially in a speaker verification system. It is also robust against variations in acoustic environment.
| Original language | English |
|---|---|
| Article number | 5276841 |
| Pages (from-to) | 1332-1340 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Audio, Speech and Language Processing |
| Volume | 18 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2010 Aug 26 |
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All Science Journal Classification (ASJC) codes
- Acoustics and Ultrasonics
- Electrical and Electronic Engineering
Cite this
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Selecting feature frames for automatic speaker recognition using mutual information. / Jung, Chi Sang; Kim, Moo Young; Kang, Hong Goo.
In: IEEE Transactions on Audio, Speech and Language Processing, Vol. 18, No. 6, 5276841, 26.08.2010, p. 1332-1340.Research output: Contribution to journal › Article
TY - JOUR
T1 - Selecting feature frames for automatic speaker recognition using mutual information
AU - Jung, Chi Sang
AU - Kim, Moo Young
AU - Kang, Hong Goo
PY - 2010/8/26
Y1 - 2010/8/26
N2 - In this paper, an information theoretic approach to selecting feature frames for speaker recognition systems is proposed. A conventional approach in which the frame shift is fixed to around half of the frame length may not be the best choice, because the characteristics of the speech signal may rapidly change, especially at phonetic boundaries. Experimental results show that the recognition accuracy increases if the frame interval is directly controlled using phonetic information. By applying these results to the well-known fact that the recognition accuracy is directly correlated with the amount of mutual information, this paper suggests a novel feature frame selection method for speaker recognition. Specifically, feature frames are chosen to have minimum-redundancy within selected feature frames, but maximum-relevancy to speaker models. It is verified by experiments that the proposed method produces consistent improvement, especially in a speaker verification system. It is also robust against variations in acoustic environment.
AB - In this paper, an information theoretic approach to selecting feature frames for speaker recognition systems is proposed. A conventional approach in which the frame shift is fixed to around half of the frame length may not be the best choice, because the characteristics of the speech signal may rapidly change, especially at phonetic boundaries. Experimental results show that the recognition accuracy increases if the frame interval is directly controlled using phonetic information. By applying these results to the well-known fact that the recognition accuracy is directly correlated with the amount of mutual information, this paper suggests a novel feature frame selection method for speaker recognition. Specifically, feature frames are chosen to have minimum-redundancy within selected feature frames, but maximum-relevancy to speaker models. It is verified by experiments that the proposed method produces consistent improvement, especially in a speaker verification system. It is also robust against variations in acoustic environment.
UR - http://www.scopus.com/inward/record.url?scp=77955785588&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77955785588&partnerID=8YFLogxK
U2 - 10.1109/TASL.2009.2033631
DO - 10.1109/TASL.2009.2033631
M3 - Article
AN - SCOPUS:77955785588
VL - 18
SP - 1332
EP - 1340
JO - IEEE Transactions on Speech and Audio Processing
JF - IEEE Transactions on Speech and Audio Processing
SN - 1558-7916
IS - 6
M1 - 5276841
ER -