Abstract
Information from speech recognition can be used in various ways in state-of-the-art speaker recognition systems. This includes the obvious use of recognized words to enable the use of text-dependent speaker modeling techniques when the words spoken are not given. Furthermore, it has been shown that the choice of words and phones itself can be a useful indicator of speaker identity. Also, recognizer output enables higher-level features, in particular those related to prosodic properties of speech. Finally, we discuss the use of mere byproducts of word recognition, such as subword unit alignments, pronunciations, and speaker adaptation transforms to derive powerful nonstandard features for speaker modeling. We present specific techniques and results from SRI's NIST speaker recognition evaluation system.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 1424412269, 9781424412266 |
| State | Published - 2007 |
| Externally published | Yes |
| Event | Workshop on Signal Processing Applications for Public Security and Forensics, SAFE 2007 - Washington, United States Duration: Apr 11 2007 → Apr 13 2007 |
Other
| Other | Workshop on Signal Processing Applications for Public Security and Forensics, SAFE 2007 |
|---|---|
| Country | United States |
| City | Washington |
| Period | 4/11/07 → 4/13/07 |
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Keywords
- High-level features
- Prosody
- Speaker adaptation
- Speaker recognition
- Speech recognition
ASJC Scopus subject areas
- Law
- Computer Vision and Pattern Recognition
- Signal Processing
Cite this
Speech recognition as feature extraction for speaker recognition. / Stolcke, A.; Shriberg, E.; Ferrer, L.; Kajarekar, S.; Sonmez, Mustafa (Kemal); Tur, G.
Proceedings - SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics. Institute of Electrical and Electronics Engineers Inc., 2007. 4218939.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Speech recognition as feature extraction for speaker recognition
AU - Stolcke, A.
AU - Shriberg, E.
AU - Ferrer, L.
AU - Kajarekar, S.
AU - Sonmez, Mustafa (Kemal)
AU - Tur, G.
PY - 2007
Y1 - 2007
N2 - Information from speech recognition can be used in various ways in state-of-the-art speaker recognition systems. This includes the obvious use of recognized words to enable the use of text-dependent speaker modeling techniques when the words spoken are not given. Furthermore, it has been shown that the choice of words and phones itself can be a useful indicator of speaker identity. Also, recognizer output enables higher-level features, in particular those related to prosodic properties of speech. Finally, we discuss the use of mere byproducts of word recognition, such as subword unit alignments, pronunciations, and speaker adaptation transforms to derive powerful nonstandard features for speaker modeling. We present specific techniques and results from SRI's NIST speaker recognition evaluation system.
AB - Information from speech recognition can be used in various ways in state-of-the-art speaker recognition systems. This includes the obvious use of recognized words to enable the use of text-dependent speaker modeling techniques when the words spoken are not given. Furthermore, it has been shown that the choice of words and phones itself can be a useful indicator of speaker identity. Also, recognizer output enables higher-level features, in particular those related to prosodic properties of speech. Finally, we discuss the use of mere byproducts of word recognition, such as subword unit alignments, pronunciations, and speaker adaptation transforms to derive powerful nonstandard features for speaker modeling. We present specific techniques and results from SRI's NIST speaker recognition evaluation system.
KW - High-level features
KW - Prosody
KW - Speaker adaptation
KW - Speaker recognition
KW - Speech recognition
UR - http://www.scopus.com/inward/record.url?scp=84969260568&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84969260568&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84969260568
SN - 1424412269
SN - 9781424412266
BT - Proceedings - SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics
PB - Institute of Electrical and Electronics Engineers Inc.
ER -