Abstract
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Acoustics, Speech, and Signal Processing. Honolulu, HI, USA, 15-20 April 2007. IEEE Cat. No. 07CH378 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| ISBN (Electronic) | 1-4244-0728-1 |
| ISBN (Print) | 1-4244-0727-3 |
| DOIs | |
| Publication status | Published - 2007 |
| MoE publication type | A4 Article in a conference publication |
| Event | IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, United States Duration: 15 Apr 2007 → 20 Apr 2007 |
Conference
| Conference | IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 |
|---|---|
| Abbreviated title | ICASSP '07 |
| Country | United States |
| City | Honolulu |
| Period | 15/04/07 → 20/04/07 |
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Keywords
- Metadata
- Mobile audio segmentation
- Multimedia database
- Speaker change detection
- Speaker segmentation
Cite this
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Unsupervised speaker change detection for mobile device recorded speech. / Vuorinen, Olli; Peltola, Johannes; Mäkelä, Satu-Marja.
IEEE International Conference on Acoustics, Speech, and Signal Processing. Honolulu, HI, USA, 15-20 April 2007. IEEE Cat. No. 07CH378. IEEE Institute of Electrical and Electronic Engineers , 2007.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Unsupervised speaker change detection for mobile device recorded speech
AU - Vuorinen, Olli
AU - Peltola, Johannes
AU - Mäkelä, Satu-Marja
PY - 2007
Y1 - 2007
N2 - In this paper we propose an unsupervised speaker change detection (SCD) system developed for mobile device applications. We use Bayesian information criterion (BIC) to find initial speaker changes, which are then verified or discarded in the second phase by utilizing modified BIC and silence detector information. Silence information usage after initial BIC in decision making is useful to separate real changes from noise peaks. Enhanced peak detector adjusts BIC penalty parameter automatically, which improve the robustness and feasibility. Improved BIC based false alarm compensation (FAC) merges effectively consecutive segments belonging to same speaker. Our experiments have shown the robustness of the algorithm and it produces very satisfactory results for difficult mobile phone recorded speech data.
AB - In this paper we propose an unsupervised speaker change detection (SCD) system developed for mobile device applications. We use Bayesian information criterion (BIC) to find initial speaker changes, which are then verified or discarded in the second phase by utilizing modified BIC and silence detector information. Silence information usage after initial BIC in decision making is useful to separate real changes from noise peaks. Enhanced peak detector adjusts BIC penalty parameter automatically, which improve the robustness and feasibility. Improved BIC based false alarm compensation (FAC) merges effectively consecutive segments belonging to same speaker. Our experiments have shown the robustness of the algorithm and it produces very satisfactory results for difficult mobile phone recorded speech data.
KW - Metadata
KW - Mobile audio segmentation
KW - Multimedia database
KW - Speaker change detection
KW - Speaker segmentation
U2 - 10.1109/ICASSP.2007.366346
DO - 10.1109/ICASSP.2007.366346
M3 - Conference article in proceedings
SN - 1-4244-0727-3
BT - IEEE International Conference on Acoustics, Speech, and Signal Processing. Honolulu, HI, USA, 15-20 April 2007. IEEE Cat. No. 07CH378
PB - IEEE Institute of Electrical and Electronic Engineers
ER -