Motorola Corporation

Google Inc.

Yan Ming Cheng

Changxue Ma

Dusan Macho

Lu Chang

Theodore Mazurkiewicz

Steven J Nowlan

Chen Liu

James R Talley

Harry M Bliss

Yuan-Jun Wei

Ted Mazurkiewicz

A method, apparatus, and electronic device for voice navigation are disclosed. A voice input mechanismmay receive a verbal input from a user to a voice user interface program invisible to the user. A processormay identify in a graphical user interface (GUI) a set of GUI items. The processormay convert the set of GUI items to a set of voice searchable indices. The processormay correlate a matching GUI item of the set of GUI items to a phonemic representation of the verbal input.

Search-based dynamic voice activation

A method for distributed voice searching may include receiving a search query from a user of the mobile communication device, generating a lattice of coarse linguistic representations from speech parts in the search query, extracting query features from the generated lattice of coarse linguistic representations, generating coarse search feature vectors based on the extracted query features, performing a coarse search using the generated coarse search feature vectors and transmitting the generated coarse search feature vectors to a remote voice search processing unit, receiving remote resultant web indices from the remote voice search processing unit, generating a lattice of fine linguistic representations from speech parts in the search query, generating fine search feature vectors from the lattice of fine linguistic representations, performing a fine search using the coarse search results, the remote resultant web indices and the generated fine search feature vectors, and displaying the fine search results to the user.

Method and apparatus for distributed voice searching

A method, a system and a computer program product for interpreting a verbal input in a multimodal dialog system are provided. The method includes assigning () a confidence value to at least one word generated by a verbal recognition component. The method further includes generating () a semantic unit confidence score for the verbal input. The generation of a semantic unit confidence score is based on the confidence value of at least one word and at least one semantic confidence operator.

Method and system for interpreting verbal inputs in multimodal dialog system

A tailored speaker-independent voice recognition system has a speech recognition dictionary () with at least one word (). That word () has at least two transcriptions (), each transcription () having a probability factor () and an indicator () of whether the transcription is active. When a speech utterance is received (), the voice recognition system determines () the word signified by the speech utterance, evaluates () the speech utterance against the transcriptions of the correct word, updates () the probability factors for each transcription, and inactivates () any transcription that has an updated probability factor that is less than a threshold.

Tailored speaker-independent voice recognition system

A method and apparatus () for updating a voice tag comprising N stored voice tag phoneme sequences includes a function () for determining () an accepted stored voice tag phoneme sequence for an utterance, a function () for extracting() a current set of M phoneme sequences having highest likelihoods of representing the utterance, a function () for updating () a reference histogram associated with the accepted voice tag, and a function () for updating () the voice tag with N selected phoneme sequences that are selected from the current set of M phoneme sequences and the set of N voice tag phoneme sequences, wherein the N selected phoneme sequences have phoneme histograms most closely matching the reference histogram. The method and apparatus () also generates a voice tag using some functions () that are common with the method and apparatus to update the voice tag, such as the extracting () of the current set of M phoneme sequences.

Method and apparatus for generating and updating a voice tag

An electronic device () for speech dialog includes functions that receive () a speech phrase that comprises a request phrase that includes an instantiated variable (), generate () pitch and voicing characteristics () of the instantiated variable, and performs speech recognition () of the instantiated variable to determine a most likely set of acoustic states (). The electronic device may generate () a synthesized value of the instantiated variable using the most likely set of acoustic states and the pitch and voicing characteristics of the instantiated variable. The electronic device may use a table of previously entered values of variables that have been determined to be unique, and in which the values are associated with a most likely set of acoustic states and the pitch and voicing characteristics determined at the receipt of each value to disambiguate () a newly received instantiated variable.

Speech dialog method and system

A voice sample characterization front-end suitable for use in a distributed speech recognition context. A digitized voice sample is split between a low frequency path and a high frequency path . Both paths are used to determine spectral content suitable for use when determining speech recognition parameters (such as cepstral coefficients) that characterize the speech sample for recognition purposes. The low frequency path has a thorough noise reduction capability. In one embodiment, the results of this noise reduction are used by the high frequency path to aid in de-noising without requiring the same level of resource capacity as used by the low frequency path

Noise reduced speech recognition parameters

A system for enhancing the signal-to-noise ratio of a speech signal is avoided. A plurality of local energy maximums associated with a speech signal are determined. Presumably, each of these local energy maximums defines a speech pitch period. Typically, human pitch periods are approximately 100-400 Hz depending on the sex and age of the speaker. Because human speech typically includes more energy near the beginning of a pitch period than at the end of the pitch period, and background noise tends to remain relatively constant throughout the pitch period, the speech signal may be enhanced by increasing the energy associated with the beginning of the pitch period and/or by decreasing the energy associated with the end of the pitch period. Preferably, the amount of energy increase in the earlier portion of the pitch period is approximately equal to the amount of energy reduction in the later portion of the pitch period. In this manner, the total energy remains the constant.

Methods and apparatus for reducing noise associated with an electrical speech signal

A selective call communication system (100), such as a paging system (100), and a method therefor, for using a lexicon (134) for voice data entry in the selective call communication system (100) is shown. The system (100) associates a Voice User ID (206) to a subscriber ID (202) for one or more subscribers of the system (100). The system (100) accumulates user system statistics (208). Then, based on the accumulated user system statistics (208), the system (100) defines a lexicon (134) to include at least one Voice User ID (206) for the one or more subscribers for voice data entry for the system (100).

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Inverness, IL, United States of America

Yan Ming Cheng