| Patent application number | Description | Published |
|---|
| 20110153324 | Language Model Selection for Speech-to-Text Conversion - Methods, computer program products and systems are described for converting speech to text. Sound information is received at a computer server system from an electronic device, where the sound information is from a user of the electronic device. A context identifier indicates a context within which the user provided the sound information. The context identifier is used to select, from among multiple language models, a language model appropriate for the context. Speech in the sound information is converted to text using the selected language model. The text is provided for use by the electronic device. | 06-23-2011 |
| 20110153325 | Multi-Modal Input on an Electronic Device - A computer-implemented input-method editor process includes receiving a request from a user for an application-independent input method editor having written and spoken input capabilities, identifying that the user is about to provide spoken input to the application-independent input method editor, and receiving a spoken input from the user. The spoken input corresponds to input to an application and is converted to text that represents the spoken input. The text is provided as input to the application. | 06-23-2011 |
| 20110161080 | Speech to Text Conversion - Methods, computer program products and systems are described for speech-to-text conversion. A voice input is received from a user of an electronic device and contextual metadata is received that describes a context of the electronic device at a time when the voice input is received. Multiple base language models are identified, where each base language model corresponds to a distinct textual corpus of content. Using the contextual metadata, an interpolated language model is generated based on contributions from the base language models. The contributions are weighted according to a weighting for each of the base language models. The interpolated language model is used to convert the received voice input to a textual output. The voice input is received at a computer server system that is remote to the electronic device. The textual output is transmitted to the electronic device. | 06-30-2011 |
| 20110161081 | Speech Recognition Language Models - Methods, computer program products and systems are described for forming a speech recognition language model. Multiple query-website relationships are determined by identifying websites that are determined to be relevant to queries using one or more search engines. Clusters are identified in the query-website relationships by connecting common queries and connecting common websites. A speech recognition language model is created for a particular website based on at least one of analyzing at queries in a cluster that includes the website or analyzing webpage content of web pages in the cluster that includes the website. | 06-30-2011 |
| 20110166851 | Word-Level Correction of Speech Input - The subject matter of this specification can be implemented in, among other things, a computer-implemented method for correcting words in transcribed text including receiving speech audio data from a microphone. The method further includes sending the speech audio data to a transcription system. The method further includes receiving a word lattice transcribed from the speech audio data by the transcription system. The method further includes presenting one or more transcribed words from the word lattice. The method further includes receiving a user selection of at least one of the presented transcribed words. The method further includes presenting one or more alternate words from the word lattice for the selected transcribed word. The method further includes receiving a user selection of at least one of the alternate words. The method further includes replacing the selected transcribed word in the presented transcribed words with the selected alternate word. | 07-07-2011 |
| 20120022853 | Multi-Modal Input on an Electronic Device - A computer-implemented input-method editor process includes receiving a request from a user for an application-independent input method editor having written and spoken input capabilities, identifying that the user is about to provide spoken input to the application-independent input method editor, and receiving a spoken input from the user. The spoken input corresponds to input to an application and is converted to text that represents the spoken input. The text is provided as input to the application. | 01-26-2012 |
| 20120022866 | Language Model Selection for Speech-to-Text Conversion - Methods, computer program products and systems are described for converting speech to text. Sound information is received at a computer server system from an electronic device, where the sound information is from a user of the electronic device. A context identifier indicates a context within which the user provided the sound information. The context identifier is used to select, from among multiple language models, a language model appropriate for the context. Speech in the sound information is converted to text using the selected language model. The text is provided for use by the electronic device. | 01-26-2012 |
| 20120022867 | Speech to Text Conversion - Methods, computer program products and systems are described for speech-to-text conversion. A voice input is received from a user of an electronic device and contextual metadata is received that describes a context of the electronic device at a time when the voice input is received. Multiple base language models are identified, where each base language model corresponds to a distinct textual corpus of content. Using the contextual metadata, an interpolated language model is generated based on contributions from the base language models. The contributions are weighted according to a weighting for each of the base language models. The interpolated language model is used to convert the received voice input to a textual output. The voice input is received at a computer server system that is remote to the electronic device. The textual output is transmitted to the electronic device. | 01-26-2012 |
| 20120022868 | Word-Level Correction of Speech Input - The subject matter of this specification can be implemented in, among other things, a computer-implemented method for correcting words in transcribed text including receiving speech audio data from a microphone. The method further includes sending the speech audio data to a transcription system. The method further includes receiving a word lattice transcribed from the speech audio data by the transcription system. The method further includes presenting one or more transcribed words from the word lattice. The method further includes receiving a user selection of at least one of the presented transcribed words. The method further includes presenting one or more alternate words from the word lattice for the selected transcribed word. The method further includes receiving a user selection of at least one of the alternate words. The method further includes replacing the selected transcribed word in the presented transcribed words with the selected alternate word. | 01-26-2012 |
| 20120022873 | Speech Recognition Language Models - Methods, computer program products and systems are described for forming a speech recognition language model. Multiple query-website relationships are determined by identifying websites that are determined to be relevant to queries using one or more search engines. Clusters are identified in the query-website relationships by connecting common queries and connecting common websites. A speech recognition language model is created for a particular website based on at least one of analyzing at queries in a cluster that includes the website or analyzing webpage content of web pages in the cluster that includes the website. | 01-26-2012 |
| Patent application number | Description | Published |
|---|
| 20090124514 | SELECTION PROBE AMPLIFICATION - Multiple unique selection probes are provided in a single medium. Each selection probe has a sequence that is complementary to a unique target sequence that may be present in a sample under consideration. For example, each selection probe may be complementary to a sequence that includes one of the SNPs used to genotype an organism. Single-stranded selection probes anneal or hybridize with sample sequences having the unique target sequences specified by the selection probe sequences. Sequences from the sample that do not anneal or hybridize with the selection probes are separated from the bound sequences by an appropriate technique. The bound sequences can then be freed to provide a mixture of isolated target sequences, which can be used as needed for the application at hand. | 05-14-2009 |
| 20090208962 | MARKERS FOR BREAST CANCER - Correlations between polymorphisms and breast cancer are provided. Methods of diagnosing, prognosing, and treating breast cancer are provided. Systems and kits for diagnosis, prognosis and treatment of breast cancer are provided. Methods of identifying breast cancer modulators are also described. | 08-20-2009 |
| 20090239226 | MARKERS FOR BREAST CANCER - Correlations between polymorphisms and breast cancer are provided. Methods of diagnosing, prognosing, and treating breast cancer are provided. Systems and kits for diagnosis, prognosis and treatment of breast cancer are provided. Methods of identifying breast cancer modulators are also described. | 09-24-2009 |
| 20090239763 | MARKERS FOR BREAST CANCER - Correlations between polymorphisms and breast cancer are provided. Methods of diagnosing, prognosing, and treating breast cancer are provided. Systems and kits for diagnosis, prognosis and treatment of breast cancer are provided. Methods of identifying breast cancer modulators are also described. | 09-24-2009 |
| 20110015092 | MARKERS FOR BREAST CANCER - Correlations between polymorphisms and breast cancer are provided. Methods of diagnosing, prognosing, and treating breast cancer are provided. Systems and kits for diagnosis, prognosis and treatment of breast cancer are provided. Methods of identifying breast cancer modulators are also described. | 01-20-2011 |
