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NIPS
2001
13 years 10 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
ACL
2008
13 years 10 months ago
Grounded Language Modeling for Automatic Speech Recognition of Sports Video
Grounded language models represent the relationship between words and the non-linguistic context in which they are said. This paper describes how they are learned from large corpo...
Michael Fleischman, Deb Roy
ICASSP
2008
IEEE
14 years 3 months ago
Segmentation of a speech spectrogram using mathematical morphology
It has been shown that speech spectrograms can be read by trained experts. In this work, we regard the speech spectrogram image as a written text in some unknown language and perf...
Raphael Steinberg, Douglas D. O'Shaughnessy
AIIA
2005
Springer
14 years 2 months ago
Multigranular Scale Speech Recognizers: Technological and Cognitive View
We present a proposal for an Automatic Speech Recognizer based on a “multigranular” model. The leading hypothesis is that speech signal contains information distributed on more...
Francesco Cutugno, Gianpaolo Coro, Massimo Petrill...