Canyon IP Holdings, LLC

Nuance Communications, Inc.

Amazon Technologies, Inc.

International Business Machines Corporation

Other

Marc White

Igor Roditis Jablokov

Victor Roman Jablokov

Charles Willard Cross, Jr

James Richard Terrell, Ii

David Jaramillo

Lisa A Seacat

Hilary A Pike

Paritosh Dinubhai Patel

Victor Roditis Jablokov

Cliff Strohofer

Gerald Matthew McCobb

Soonthorn Ativanichayaphong

Shay Ben-David

Charles W Cross

Scott Edward Paden

Clifford J Strohofer, Iii

Igor R Jablokov

A method for facilitating the updating of a language model includes receiving, at a client device, via a microphone, an audio message corresponding to speech of a user; communicating the audio message to a first remote server; receiving, that the client device, a result, transcribed at the first remote server using an automatic speech recognition system ('ASR'), from the audio message; receiving, at the client device from the user, an affirmation of the result; storing, at the client device, the result in association with an identifier corresponding to the audio message; and communicating, to a second remote server, the stored result together with the identifier.

Corrective feedback loop for automated speech recognition

A method of providing speech transcription performance indication includes receiving, at a user device data representing text transcribed from an audio stream by an ASR system, and data representing a metric associated with the audio stream; displaying, via the user device, said text; and via the user device, providing, in user-perceptible form, an indicator of said metric. Another method includes displaying, by a user device, text transcribed from an audio stream by an ASR system; and via the user device, providing, in user-perceptible form, an indicator of a level of background noise of the audio stream. Another method includes receiving data representing an audio stream; converting said data representing an audio stream to text via an ASR system; determining a metric associated with the audio stream; transmitting data representing said text to a user device; and transmitting data representing said metric to the user device.

Continuous speech transcription performance indication

Methods, systems, and software for converting the audio input of a user of a handheld client device or mobile phone into a textual representation by means of a backend server accessed by the device through a communications network. The text is then inserted into or used by an application of the client device to send a text message, instant message, email, or to insert a request into a web-based application or service. In one embodiment, the method includes the steps of initializing or launching the application on the device; recording and transmitting the recorded audio message from the client device to the backend server through a client-server communication protocol; converting the transmitted audio message into the textual representation in the backend server; and sending the converted text message back to the client device or forwarding it on to an alternate destination directly from the server.

Hosted voice recognition system for wireless devices

Targeted delivery of contextually relevant ad impressions to a mobile device is provided. The ad impressions are delivered within text messages and/or instant message chat threads. Monetizing of text messaging and instant messaging by providers of such services is achieved, while providing unobtrusive and contextually relevant information to users of such services.

Facilitating presentation of ads relating to words of a message

A device may include a physical phenomenon detector. The physical phenomenon detector may detect a physical phenomenon related to the device. In response to detecting the physical phenomenon, the device may record audio data that includes speech. The speech may be transcribed with a speech recognition engine. The speech recognition engine may be included in the device, or may be included with a remote computing device with which the device may communicate.

Using a physical phenomenon detector to control operation of a speech recognition engine

Methods, systems, and software for converting the audio input of a user of a hand-held client device or mobile phone into a textual representation by means of a backend server accessed by the device through a communications network. The text is then inserted into or used by an application of the client device to send a text message, instant message, email, or to insert a request into a web-based application or service. In one embodiment, the method includes the steps of initializing or launching the application on the device; recording and transmitting the recorded audio message from the client device to the backend server through a client-server communication protocol; converting the transmitted audio message into the textual representation in the backend server; and sending the converted text message back to the client device or forwarding it on to an alternate destination directly from the server.

The present invention discloses a launching engine configured to automatically launch a Web site and load an electronic document responsive to a launching event for the electronic document. The launching engine can be a component of a computer operating system (e.g., MAC OS, OS/2, WINDOWS XP, etc.) or a graphics management component (e.g., KDE, GNOME, etc.) of a computer. A launching event can be initiated by user selection of a document icon, a user selection of an electronic document from a file management application, a launching script for the electronic document triggered by a media insertion action, and the like.

Associating file types with web-based applications for automatically launching the associated application

Audio data that includes speech may be transcribed using a language model. The transcription may be provided to a user. The user may provide feedback on the transcription, and the language model may be updated based at least in part on the feedback. The feedback may include, for example, an affirmation of the transcription; a disapproval of the transcription; a correction to the transcription; a selection of an alternate transcription result; or any other kind of response.

A method for facilitating mobile phone messaging, such as text messaging and instant messaging, includes receiving audio data communicated from the mobile communication device, the audio data representing an utterance that is intended to be at least a portion of the text of the message that is to be sent from the mobile phone to a recipient; transcribing the utterance to text based on the received audio data to generate a transcription; and applying a filter to the transcribed text to generate a filtered transcription, the text of which is intended to mimic language patterns of mobile device messaging that is performed manually by users. The method may also be applied to the audio data of a voicemail, with the filtered, transcribed text being communicated to a mobile phone as, for example, an SMS text message.

Filtering transcriptions of utterances

A method of obtaining information using a mobile device can include receiving a request including speech data from the mobile device, and querying a network service using query information extracted from the speech data, whereby search results are received from the network service. The search results can be formatted for presentation on a display of the mobile device. The search results further can be sent, along with a voice grammar generated from the search results, to the mobile device. The mobile device then can render the search results.

Retrieval and presentation of network service results for mobile device using a multimodal browser

A method of utilizing metadata stored in a computer-readable medium to assist in the conversion of an audio stream to a text stream. The method compares personally identifiable data, such as a user's electronic address book and/or Caller/Recipient ID information (in the case of processing voice mail to text), to the n-best results generated by a speech recognition engine for each word that is output by the engine. A goal of this comparison is to correct a possible misrecognition of a spoken proper noun such as a name or company with its proper textual form or a spoken phone number to correctly formatted phone number with Arabic numerals to improve the overall accuracy of the output of the voice recognition system.

Use of metadata to post process speech recognition output

Audio data that includes speech may be transcribed to text by a speech recognition engine. One or more metrics associated with the audio data and/or the text may be determined. An indicator related to a metric may be provided for a portion of the audio data or the text for which the metric was determined. The indicator may be presented in a user-perceptible format.

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Boca Raton, FL, United States of America

Marc White