Sixth European Conference on Speech Communication and Technology
One of the basic aspects of modern pattern matching algorithms used in speech recognition is time-alignment. The use of time-alignment is essential for offsetting speaking rate variations, which is an inherent property of the speech signal. It is known that time-alignment contributes to increased accuracy in speech recognition. However, a key question is whether time-alignment information still contributes to recognition accuracy in highly degraded speech. In this paper we examine the robustness of time-alignment information by introducing a robustness indicator. Isolated words recognition experiments with and without time alignment (using DTW and VQ respectively) are used and to illustrate the issue.
Full Paper (PDF) Gnu-Zipped Postscript
Bibliographic reference. Hauptman, Y. / Bistritz, Y. (1999): "On the use of time alignments for noisy speech recognition", In EUROSPEECH'99, 2829-2832.