International Business Machines Corporation

Nuance Communications, Inc.

Satyanarayana Dharanipragada

Harry William Printz

Karthik Visweswariah

Michael Daniel Monkowski

Sabine V Deligne

Ellen Marie Eide

Jeffrey Scott Sorensen

Mukund Padmanabhan

Peder Andreas Olsen

Salim Estephan Roukos

Borivoj Tydlitat

A method, system, and computer program for class detection and time mediated averaging of class dependent models. A technique is described to take advantage of gender information in training data and how obtain female, male, and gender independent models from this information. By using a probability value to average male and female Gaussian Mixture Models (GMMs), dramatic deterioration in cross gender decoding performance is avoided.

Class detection scheme and time mediated averaging of class dependent models

Techniques are provided for generating improved language modeling. Such improved modeling is achieved by conditioning a language model on a state of a dialog for which the language model is employed. For example, the techniques of the invention may improve modeling of language for use in a speech recognizer of an automatic natural language based dialog system. Improved usability of the dialog system arises from better recognition of a user's utterances by a speech recognizer, associated with the dialog system, using the dialog state-conditioned language models. By way of example, the state of the dialog may be quantified as: (i) the internal state of the natural language understanding part of the dialog system; or (ii) words in the prompt that the dialog system played to the user.

Methods and apparatus for generating dialog state conditioned language models

Methods and arrangements for enhancing speech recognition in noisy environments, via providing at least one initial Compound Gaussian Mixture model, applying an adaptation algorithm to at least one item associated with speech enrollment data and to the at least one initial Compound Gaussian Mixture model to yield an intermediate output, and mathematically combining the at least one initial Compound Gaussian Mixture model with the intermediate output to yield an adapted Compound Gaussian Mixture model.

Adaptation of Compound Gaussian Mixture models

A technique for separating a signal associated with a first source from a mixture of the first source signal and a signal associated with a second source comprises the following steps/operations. First, two signals respectively representative of two mixtures of the first source signal and the second source signal are obtained. Then, the first source signal is separated from the mixture in a non-linear signal domain using the two mixture signals and at least one known statistical property associated with the first source and the second source, and without a need to use a reference signal.

Methods and apparatus for multiple source signal separation

A multi-channel telephone data collection, collaboration and conferencing system for use with a plurality of telephone channels, the telephone channels being interconnected to facilitate a conference call between a plurality of telephone conferencing devices, the system comprising: a call processor having at least two telephone conferencing device input/output ports connected to the processor and to the plurality of telephone conferencing devices, the call processor generates an audio signal corresponding to each of the plurality of telephone conferencing devices connected to the telephone input/output ports; an audio saving module, connected to the call processor, that converts the audio signal corresponding to each of the plurality of telephone conferencing devices to a digital signal; a memory device that stores the digital signals corresponding to each conference device; an audio switch, connected to the call processor and the memory device, that has a plurality of audio inputs corresponding to each of the conference devices and that selects an appropriate audio input to present to the output ports of the call processor in response to a select signal; and an application logic controller, connected to the call processor, the audio switch and to the memory device, that controls the operation of the system and generates the select signal according to a programmable talk mode.

Multi-channel telephone data collection, collaboration and conferencing system and method of using the same

A method of adapting a speech recognition system to one or more acoustic conditions comprises the steps of: (i) computing cumulative distribution functions based on dimensions of speech vectors associated with training speech data provided to the speech recognition system; (ii) computing cumulative distribution functions based on dimensions of speech vectors associated with test speech data provided to the speech recognition system; (iii) computing a nonlinear transformation mapping based on the cumulative distribution functions associated with the training speech data and the cumulative distribution functions associated with the test speech data; and (iv) applying the nonlinear transformation mapping to speech vectors associated with the test speech data prior to recognition, wherein the speech vectors transformed in accordance with the nonlinear transformation mapping are substantially similar to speech vectors associated with the training speech data.

Method and apparatus for rapid adapt via cumulative distribution function matching for continuous speech

A fast vocabulary independent method for spotting words in speech utilizes a preprocessing step and a coarse-to-detailed search strategy for spotting a word/phone sequence in speech. The preprocessing includes a Viterbi-beam phone level decoding using a tree-based phone language model. The coarse search matches phone-ngrams to identify regions of speech as putative word hits, and the detailed search performs an acoustic match at the putative hits with a model of the given word included in the vocabulary of the recognizer.

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Ossining, NY, United States of America

Satyanarayana Dharanipragada