8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


A Robust and Sensitive Word Boundary Decision Algorithm

Jong Uk Kim, SangGyun Kim, Chang D. Yoo

KAIST, Korea

A robust and sensitive word boundary decision algorithm for automatic speech recognition (ASR) system is proposed. The algorithm uses a time-frequency feature to improve both robustness and sensitivity. The time-frequency features are passed through a bank of moving average filters for temporary decision of word boundary in each band. The decision results of each band are then passed through a median filter for the final decision. The adoption of time-frequency feature improves the sensitivity, while the median filtering improves the robustness. Proposed algorithm uses an adaptive threshold based on the signal-to-noise ratio (SNR) in each band which further improves the decision performance. Experimental result shows that the proposed algorithm outperforms the Q.Li et al's robust algorithm.

Full Paper

Bibliographic reference.  Kim, Jong Uk / Kim, SangGyun / Yoo, Chang D. (2003): "A robust and sensitive word boundary decision algorithm", In EUROSPEECH-2003, 2857-2860.