In this paper, we extend our previous study on discriminative training using non-uniform criteria for speech recognition. The work will put emphasis on how the acoustic modeling i...
In this paper, we propose a novel parts-based binary-valued feature for ASR. This feature is extracted using boosted ensembles of simple threshold-based classifiers. Each such cl...
Long-span language models that capture syntax and semantics are seldom used in the first pass of large vocabulary continuous speech recognition systems due to the prohibitive sea...
Anoop Deoras, Tomas Mikolov, Stefan Kombrink, Mart...
An improved approach for the estimation of the frequency dependent reverberation time (RT) by means of allpass transformed filterbanks is presented. It is shown that by means of ...
—We present a new technique for estimating the 3D shape of an object that combines previous ideas from shape from silhouettes and shape from shadows. We begin with a set-up for r...
Silvio Savarese, Holly E. Rushmeier, Fausto Bernar...