대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2004년도 학술대회지
- /
- Pages.764-767
- /
- 2004
Telephone Speech Recognition with Data-Driven Selective Temporal Filtering based on Principal Component Analysis
- Jung Sun Gyun (School of Electronic and Electrical Engineering, Kyungpook National University) ;
- Son Jong Mok (School of Electronic and Electrical Engineering, Kyungpook National University) ;
- Bae Keun Sung (School of Electronic and Electrical Engineering, Kyungpook National University)
- 발행 : 2004.08.01
초록
The performance of a speech recognition system is generally degraded in telephone environment because of distortions caused by background noise and various channel characteristics. In this paper, data-driven temporal filters are investigated to improve the performance of a specific recognition task such as telephone speech. Three different temporal filtering methods are presented with recognition results for Korean connected-digit telephone speech. Filter coefficients are derived from the cepstral domain feature vectors using the principal component analysis.
키워드