Over the years, the focus in noise robust speech recognition has shifted from noise robust features to model based techniques such as parallel model combination and uncertainty de...
Kris Demuynck, Xueru Zhang, Dirk Van Compernolle, ...
In this paper, we revisit the linear transformation for VTLN on conventional MFCC proposed by Sanand et al. in [1], using the idea of band-limited interpolation. The filter-bank i...
Interfaces based on recognition technologies are used extensively in both the commercial and research worlds. But recognizers are still error-prone, and this results in human perf...
Jennifer Mankoff, Scott E. Hudson, Gregory D. Abow...
In this paper we investigate the use of linguistic information given by language models to deal with word recognition errors on handwritten sentences. We focus especially on error...
We report work on the first component of a two stage speech recognition architecture based on phonological features rather than phones. The paper reports experiments on three phon...