Face-to-face meetings usually encompass several modalities including speech, gesture, handwriting, and person identification. Recognition and integration of each of these modalit...
Ralph Gross, Michael Bett, Hua Yu, Xiaojin Zhu, Yu...
We have developed an automated method that predicts the word accuracy of a speech recognition system for non-native speech, in the context of speaking proficiency scoring. A model...
A new, linguistically annotated, video database for automatic sign language recognition is presented. The new RWTH-BOSTON-400 corpus, which consists of 843 sentences, several spea...
Philippe Dreuw, Carol Neidle, Vassilis Athitsos, S...
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...