Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A system differentiates user controls by arranging a conductive surface in a close approximation to each control. A transmitter is connected to the conductive surfaces. The transmitter emits a unique signal to each conductive surface. Electrodes are arranged in close proximity to users of the controls, and a receiver is connected to each corresponding electrode. A particular user is associated with a particular control when the particular user is capacitively coupled to a particular conductive surface via the electrode, the receiver and the transmitter.

Abstract: In a cellular network, a cell phone transmits a continuous voice signal over a voice channel to a server. The cell phone can also generate events, the events including on events and off events. The events can be time-stamped. The events are transmitted as a data signal over a data channel of the network to the server. In the server, only segments of the voice signal that substantially correspond to a particular on event and a following off event are converted by an automated speech recognition engine. The converted signal can be further processed by a dialog manager that generates speech signals for the cell phone in response to the converted signal.