Eliza Corporation

Other

John P Kroeker

Oleg Boulanov

Lucas Merrow

Alexandra Drane

Nasreen R Quibria

Michael R Robinson

Robert L Powers

Janet Slifka

Richard S McGowan

Andrey Yelpatov

Oleg Boulanoz

A system for conducting a telephonic speech recognition application includes an automated telephone device for making telephonic contact with a respondent and a speech recognition device which, upon the telephonic contact being made, presents the respondent with at least one introductory prompt for the respondent to reply to; receives a spoken response from the respondent; and performs a speech recognition analysis on the spoken response to determine a capability of the respondent to complete the application. If the speech recognition device, based on the spoken response to the introductory prompt, determines that the respondent is capable of competing the application, the speech recognition device presents at least one application prompt to the respondent. If the speech recognition device, based on the spoken response to the introductory prompt, determines that the respondent is not capable of completing the application, the speech recognition system presents instructions on completing the application to the respondent.

Method of and system for providing adaptive respondent training in a speech recognition application

A speech analysis system uses one or more digital processors to reconstruct a speech signal by accurately extracting speech formants from a digitized version of the speech signal. The system extracts the formants by determining an estimated instantaneous frequency and an estimated instantaneous bandwidth of speech resonances of the digital version of the speech signal in real time. The system digitally filters the digital speech signal using a plurality of complex digital filters in parallel having overlapping bandwidths to ensure that substantially all of the bandwidth of the speech signal is covered. This virtual chain of overlapping complex digital filters produces a corresponding plurality of complex filtered signals. A first estimated frequency and a first estimated bandwidth is generated for each of the filtered signals, and speech resonances of the input speech signal are identified therefrom.

Digital processor based complex acoustic resonance digital speech analysis system

A system for determining the status of an answered telephone during the course of an outbound telephone call includes an automated telephone calling device for placing a telephone call to a location having a telephone number at which a target person is listed, upon the telephone call being answered, initiating a prerecorded greeting which asks for the target person and receiving a spoken response from an answering person and a speech recognition device for performing a speech recognition analysis on the spoken response to determine a status of the spoken response. If the speech recognition device determines that the answering person is the target person, the speech recognition device initiates a speech recognition application with the target person.

Speech recognition method of and system for determining the status of an answered telephone during the course of an outbound telephone call

A method for transcribing an audio response includes: A. constructing an application including a plurality of queries and a set of expected responses for each query, the set including a plurality of expected responses to each query in a textual form; B. posing each of the queries to a respondent with a querying device; C. receiving an audio response to each query from the respondent; D. performing a speech recognition function on each audio response with an automatic speech recognition device to transcribe each audio response to a textual response to each query; E. recording each audio response with a recording device; and F. comparing, with the automatic speech recognition device, each textual response to the set of expected responses for each corresponding query to determine if each textual response corresponds to any of the expected responses in the set of expected responses for the corresponding query.

Method of and system for improving accuracy in a speech recognition system

The present invention is a system and method for creating and implementing transactional speech applications (SAs) using Web technologies, without reliance on server-side standard or custom services. A transactional speech application may be any application that requires interpretation of speech in conjunction with a speech recognition (SR) system, such as, for example, consumer survey systems. A speech application in accordance with the present invention is represented within a Web page, as an application script that interprets semantic objects according to a context. Any commonly known scripting language can be used to write the application script, such as JavaScript (or ECMAScript), PerlScript, and VBscript. The present invention is 'Web-based' to the extent that it implements Web technologies, but it need not include or access the World Wide Web.

Web-based speech recognition with scripting and semantic objects

A method and apparatus are provided for determining an instantaneous frequency and an instantaneous bandwidth of a speech resonance of a speech signal. The method includes receiving a speech signal having a real component; filtering the speech signal so as to generate a plurality of filtered signals such that the real component and an imaginary component of the speech signal are reconstructed; and generating a first estimated frequency and a first estimated bandwidth of a speech resonance of the speech signal based on both a first filtered signal of the plurality of filtered signals and a single-lag delay of the first filtered signal.

Fast and accurate extraction of formants for speech recognition using a plurality of complex filters in parallel

Method of and system for providing adaptive respondent training in a speech recognition application based upon the inherent response of the respondent

A method for transcribing an audio response includes:

The present invention is a system and method for creating and implementing transactional speech applications (SAs) using Web technologies, without reliance on server-side standard or custom services. A transactional speech application may be any application that requires interpretation of speech in conjunction with a speech recognition (SR) system, such as, for example, consumer survey systems. A speech application in accordance with the present invention is represented within a Web page, as an application script that interprets semantic objects according to a context. Any commonly known scripting language can be used to write the application script, such as Jscript, PerlScript, and VBscript. The present invention is 'Web-based' to the extent that it implements Web technologies, but it need not include or access the World Wide Web.

A phonetic data processing system processes phonetic stream data to produce a set of semantic data, using a context-free rich semantic grammar database (RSG DB) that includes a grammar tree, comprised of sub-trees, representing words and phrases. A phonetic searcher accepts the phonetic estimates and searches the RSG DB to produce a best word list, which is processed by a semantic parser, using the RSG DB, to produce a semantic tree instance, including all valid interpretations of the phonetic stream. An application accesses a semantic tree evaluator to interpret the semantic tree instance according to a context to produce a final linguistic interpretation of the phonetic stream, which is returned to the application.

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Hamilton, MA, United States of America

John P Kroeker