Mitsubishi Electric Research Laboratories, Inc.

Mitsubishi Electric Corporation

Bent Schmidt-Nielsen

Bhiksha Ramakrishnan

Bret Harsham

Garrett Weinberg

Rahul Sarpeshkar

Paul H Dietz

Lorenzo Turicchia

Evandro Bacci Gouvêa

Evandro B Gouvea

Bret A Harsham

An information retrieval system stores and retrieves documents using particles and a particle-based language model. A set of particles for a collection of documents in a particular language is constructed from training documents such that a perplexity of the particle-based language model is substantially lower than the perplexity of a word-based language model constructed from the same training documents. The documents can then be converted to document particle graphs from which particle-based keys are extracted to form an index to the documents. Users can then retrieve relevant documents using queries also in the form of particle graphs.

Method for indexing for retrieving documents using particles

A computer implemented method facilitates a user interaction via a speech-based user interface. The method acquires spoken input from a user in a form of a phrase of one or more words. It further determines, using a plurality of different domains, whether the phrase is a query or a command. If the phrase is the query the method retrieves and presents relevant items from a plurality of databases. If the phrase is a command, the method performs an operation.

Method for interacting with users of speech recognition systems

A method and system enhances an acoustic signal acquired by a microphone from an acoustic source while concurrently acquiring a Doppler signal from moving parts of the acoustic source. The acoustic signal and the Doppler signal are then analyzed according to a model to generate an enhanced acoustic signal.

System and method for acquiring acoustic signals using doppler techniques

A method and system processes a speech signal. A fast Fourier transform is performed on a speech signal to produce a speech signal having a plurality of frequency bands in a frequency domain. For each frequency bands, filter the speech signal in the frequency domain with a spatial broadband filter, compress the broadband filtered speech signal, filter the compressed speech signal with a spatial narrowband filter; and, expand the narrowband filtered signal to an expanded signal

Method and system for FFT-based companding for automatic speech recognition

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Lexington, MA, United States of America

Bent Schmidt-Nielsen