Amazon Technologies, Inc.

Kabushiki Kaisha Toshiba

Catherine Breslin

Edward C Bueche

Toby Ray Latin-Stoermer

Brandon Scott Durham

Fabian Moerchen

Panagiota Karanasou

Jonathan Barnett Feinstein

Alok Verma

Fabian Triefenbach

Amina Shabbeer

Judith Gaspers

Klaus Reiter

Kean Kheong Chin

Mark John Francis Gales

Katherine Mary Knill

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.

Techniques for model training for voice features

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.

A method for identifying a plurality of speakers in audio data and for decoding the speech spoken by said speakers;

Speech processing system and method

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Cambridge, United Kingdom

Catherine Breslin