Patent
Computer-implemented noise normalization method and system
Victor Lee,Otman A. Basir,Fakhreddine Karray,Jiping Sun,Xing Jing +4 more
- 23 May 2001
79
TL;DR: In this article, a computer-implemented speech recognition method and system for handling noise contained in a user input speech is presented, where a domain acoustic noise model is selected from a plurality of candidate domain acoustic noises models that substantially match the acoustic profile of the environmental noise in the user input input speech.
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Abstract: A computer-implemented speech recognition method and system for handling noise contained in a user input speech. The user input speech from a user contains environmental noise, user vocalized noise, and useful sounds. A domain acoustic noise model is selected from a plurality of candidate domain acoustic noise models that substantially matches the acoustic profile of the environmental noise in the user input speech. Each of the candidate domain acoustic noise models contains a noise acoustic profile specific to a pre-selected domain. An environmental noise language model is adjusted based upon the selected domain acoustic noise model and is used to detect the environmental noise within the user input speech. A vocalized noise model is adjusted based upon the selected domain acoustic noise model and is used to detect the vocalized noise within the user input speech. A language model is adjusted based upon the selected domain acoustic noise model and is used to detect the useful sounds within the user input speech. Speech recognition is performed upon the user input speech using the adjusted environmental noise language model, the adjusted vocalized noise model, and the adjusted language model.
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Citations
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302
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Patent
Method for noise adaptation in automatic speech recognition using transformed matrices
Robert C. Boman,Christophe Cerisara,Jean-Claude Junqua,Luca Rigazio +3 more
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TL;DR: In this paper, an α-adaptation parameter or artificial intelligence operation is employed in a linear or non-linear way to increase the adaptation bias added to the speech models, which corrects shortcomings of conventional Jacobian adaptation, which tend to underestimate the effect of noise.
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Patent
Method of out of vocabulary word rejection
Levent M. Arslan,Lorin P. Netsch,Periagaram K. Rajasekaran +2 more
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TL;DR: This article adapted an initial garbage model using received incoming enrollment speech to provide out-of-vocabulary word rejection by adapting a garbage model to the incoming enrollment message and used it for word rejection.
20