Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
This paper introduces a discriminative extension to whole-word point process modeling techniques. Meant to circumvent the strong independence assumptions of their generative prede...
Varying channel conditions present a difficult problem for many speech technologies such as language identification (LID). Channel compensation techniques have been shown to sig...
Automatic restoration of punctuation from unpunctuated text has application in improving the fluency and applicability of speech recognition systems. We explore the possibility t...
This paper presents new filter bank design methods for subband adaptive beamforming. In this work, we design analysis and synthesis prototypes for modulated filter banks so as t...
Ken'ichi Kumatani, John W. McDonough, S. Schachl, ...