Prior Art submitted for Feature compensation approach to robust speech recognition http://peertopatent.org/patent/272/prior_art/list Described is a technology by which a feature compensation approach to speech recognition uses a high-order vector Taylor series (HOVTS) approximation of a model of distortions to improve recognition accuracy. Speech recognizer models trained with clean speech degrade when later dealing with speech that is corrupted by additive noises and convolutional distortions. The approach attempts to remove any such noise/distortions from the input speech. To use the HOVTS approximation, a Gaussian mixture model is trained and used to convert cepstral domain feature vectors to log spectrum components. HOVTS computes statistics for the components, which are transformed back to the cepstral domain. A noise/distortion estimate is obtained, and used to provide a clean speech estimate to the recognizer. en-us Statistical Linear Approximation for Environment Compensation Feature compensation approach to robust speech recognition Title: IEEE SIGNAL PROCESSING LETTERS<br/>ISBN: <br/>Description: From the abstract:The statistical linear approximation (SLA) method is proposed as a novel way to approximate a nonlinear function by a linearized model. In the proposed method, an optimization criterion for approximation is defined in terms of statistical expectation. The SLA is applied to environment compensation where the speech contamination rule appears as a highly nonlinear function of the relevant variables. Thu, 16 Dec 2010 17:49:07 -0800 http://peertopatent.org/prior_art/660/detail A VECTOR TAYLOR SERIES APPROACH FOR ENVIRONMENT-INDEPENDENT SPEECH RECOGNITION Feature compensation approach to robust speech recognition Title: <br/>ISBN: 0-7803-3192-3 <br/>Description: An analytical approach to environment compensation for speech recognition. Uses the Vector Taylor Series expansion to characterize the effects on speech statistics of unknown noise. Thu, 16 Dec 2010 17:28:39 -0800 http://peertopatent.org/prior_art/659/detail The application of Taylor series Feature compensation approach to robust speech recognition Title: OVERCOMING THE VECTOR TAYLOR SERIES APPROXIMATION IN SPEECH FEATURE ENHANCEMENT — A PARTICLE FILTER <br/>ISBN: <br/>Description: It appears the use of vector taylor series approximation in speech has already existed Wed, 01 Dec 2010 09:23:31 -0800 http://peertopatent.org/prior_art/636/detail