Patents by Inventor Catherine Breslin
Catherine Breslin has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10937413Abstract: Techniques are provided for training a target language model based at least in part on data associated with a reference language model. For example, language data utilized to train an English language model may be translated and provided as training data to train a German language model to recognize utterances provided in German. By utilizing the techniques herein, the efficiency of training a new language model may be improved due at least in part to replacing labor-intensive operations conventionally performed by specialized personnel with machine-generated data. Additionally, techniques discussed herein provide for reducing the time required for training a new language model by leveraging information associated with utterances of one language to train the new language model associated with a different language.Type: GrantFiled: September 24, 2018Date of Patent: March 2, 2021Assignee: Amazon Technologies, Inc.Inventors: Jonathan B. Feinstein, Alok Verma, Amina Shabbeer, Brandon Scott Durham, Catherine Breslin, Edward Bueche, Fabian Moerchen, Fabian Triefenbach, Klaus Reiter, Toby R. Latin-Stoermer, Panagiota Karanasou, Judith Gaspers
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Patent number: 10854189Abstract: Techniques are provided for training a language recognition model. For example, a language recognition model may be maintained and associated with a reference language (e.g., English). The language recognition model may be configured to accept as input an utterance in the reference language and to identify a feature to be executed in response to receiving the utterance. New language data (e.g., other utterances) provided in a different language (e.g., German) may be obtained. This new language data may be translated to English and utilized to retrain the model to recognize reference language data as well as language data translated to the reference language. Subsequent utterances (e.g., English utterances, or German utterances translated to English) may be provided to the updated model and a feature may be identified. One or more instructions may be sent to a user device to execute a set of instructions associated with the feature.Type: GrantFiled: September 24, 2018Date of Patent: December 1, 2020Assignee: Amazon Technologies, Inc.Inventors: Jonathan B. Feinstein, Alok Verma, Amina Shabbeer, Brandon Scott Durham, Catherine Breslin, Edward Bueche, Fabian Moerchen, Fabian Triefenbach, Klaus Reiter, Toby R. Latin-Stoermer, Panagiota Karanasou, Judith Gaspers
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Publication number: 20200098351Abstract: Techniques are provided for training a language recognition model. For example, a language recognition model may be maintained and associated with a reference language (e.g., English). The language recognition model may be configured to accept as input an utterance in the reference language and to identify a feature to be executed in response to receiving the utterance. New language data (e.g., other utterances) provided in a different language (e.g., German) may be obtained. This new language data may be translated to English and utilized to retrain the model to recognize reference language data as well as language data translated to the reference language. Subsequent utterances (e.g., English utterances, or German utterances translated to English) may be provided to the updated model and a feature may be identified. One or more instructions may be sent to a user device to execute a set of instructions associated with the feature.Type: ApplicationFiled: September 24, 2018Publication date: March 26, 2020Inventors: Jonathan B. Feinstein, Alok Verma, Amina Shabbeer, Brandon Scott Durham, Catherine Breslin, Edward Bueche, Fabian Moerchen, Fabian Triefenbach, Klaus Reiter, Toby R. Latin-Stoermer, Panagiota Karanasou, Judith Gaspers
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Publication number: 20200098352Abstract: Techniques are provided for training a target language model based at least in part on data associated with a reference language model. For example, language data utilized to train an English language model may be translated and provided as training data to train a German language model to recognize utterances provided in German. By utilizing the techniques herein, the efficiency of training a new language model may be improved due at least in part to replacing labor-intensive operations conventionally performed by specialized personnel with machine-generated data. Additionally, techniques discussed herein provide for reducing the time required for training a new language model by leveraging information associated with utterances of one language to train the new language model associated with a different language.Type: ApplicationFiled: September 24, 2018Publication date: March 26, 2020Inventors: Jonathan B. Feinstein, Alok Verma, Amina Shabbeer, Brandon Scott Durham, Catherine Breslin, Edward Bueche, Fabian Moerchen, Fabian Triefenbach, Klaus Reiter, Toby R. Latin-Stoermer, Panagiota Karanasou, Judith Gaspers
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Patent number: 8612224Abstract: A method for identifying a plurality of speakers in audio data and for decoding the speech spoken by said speakers; the method comprising: receiving speech; dividing the speech into segments as it is received; processing the received speech segment by segment in the order received to identify the speaker and to decode the speech, processing comprising: performing primary decoding of the segment using an acoustic model and a language model; obtaining segment parameters indicating the differences between the speaker of the segment and a base speaker during the primary decoding; comparing the segment parameters with a plurality of stored speaker profiles to determine the identity of the speaker, and selecting a speaker profile for said speaker; updating the selected speaker profile; performing a further decoding of the segment using a speaker independent acoustic model, adapted using the updated speaker profile; outputting the decoded speech for the identified speaker, wherein the speaker profiles are updType: GrantFiled: August 23, 2011Date of Patent: December 17, 2013Assignee: Kabushiki Kaisha ToshibaInventors: Catherine Breslin, Mark John Francis Gales, Kean Kheong Chin, Katherine Mary Knill
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Publication number: 20120253811Abstract: A method for identifying a plurality of speakers in audio data and for decoding the speech spoken by said speakers; the method comprising: receiving speech; dividing the speech into segments as it is received; processing the received speech segment by segment in the order received to identify the speaker and to decode the speech, processing comprising: performing primary decoding of the segment using an acoustic model and a language model; obtaining segment parameters indicating the differences between the speaker of the segment and a base speaker during the primary decoding; comparing the segment parameters with a plurality of stored speaker profiles to determine the identity of the speaker, and selecting a speaker profile for said speaker; updating the selected speaker profile; performing a further decoding of the segment using a speaker independent acoustic model, adapted using the updated speaker profile; outputting the decoded speech for the identified speaker, wherein the speaker profiles are updType: ApplicationFiled: August 23, 2011Publication date: October 4, 2012Applicant: Kabushiki Kaisha ToshibaInventors: Catherine BRESLIN, Mark John Francis Gales, Kean Kheong Chin, Katherine Mary Knill
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Publication number: 20070197482Abstract: The invention relates generally to the methods of treating brain diseases and compounds for treating brain diseases, and more specifically relates to using compounds that are able to modulate guanine nucleotide exchange factors for proteins belonging to the Rap family of small GTPases to treat diseases of the brain, such as Alzheimer's and Schizophrenia.Type: ApplicationFiled: May 4, 2004Publication date: August 23, 2007Applicant: Scottish Biomedical LimitedInventors: Ian McPhee, Catherine Breslin, Justin Kewney, Simon MacKenzie, Ann Cooreman, Lucien Charles Gibson, Morag McFarlane, Stephen Hammond