公开(公告)号：US10937413B2

公开(公告)日：2021-03-02

申请号：US16139891

申请日：2018-09-24

Applicant: Amazon Technologies, Inc.

Inventor： 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

IPC: G10L15/06 ,  G10L15/00 ,  G10L15/02 ,  G06F40/58

Abstract: 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.

公开(公告)号：US20200098352A1

公开(公告)日：2020-03-26

申请号：US16139891

申请日：2018-09-24

Applicant: Amazon Technologies, Inc.

Inventor： 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

IPC: G10L15/06 ,  G10L15/00 ,  G10L15/02 ,  G06F17/28

Abstract: 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.

公开(公告)号：US10163451B2

公开(公告)日：2018-12-25

申请号：US15387038

申请日：2016-12-21

Applicant: Amazon Technologies, Inc.

Inventor： Leo Parker Dirac ,  Fabian Moerchen ,  Edo Liberty

IPC: G10L21/013 ,  G10L15/00 ,  G10L25/51 ,  G06F17/28

Abstract: Techniques for accent translation are described herein. A plurality of audio samples may be received, and each of the plurality of audio samples may be associated with at least one of a plurality of accents. Audio samples associated with at least a first accent of the plurality of accents may be compared to audio samples associated with at least one other accent of the plurality of accents. A translation model between the first accent and a second accent may be generated. An input audio portion in a first spoken language may be received. It may be determined whether the input audio portion is substantially associated with the first accent, and if so, an output audio portion substantially associated with the second accent in the first spoken language may be outputted based, at least in part, on the translation model.

公开(公告)号：US10854189B2

公开(公告)日：2020-12-01

申请号：US16139984

申请日：2018-09-24

Applicant: Amazon Technologies, Inc.

Inventor： 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

IPC: G10L15/00 ,  G10L15/06 ,  G10L15/02 ,  G06F40/58

Abstract: 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.

公开(公告)号：US20200098351A1

公开(公告)日：2020-03-26

申请号：US16139984

申请日：2018-09-24

Applicant: Amazon Technologies, Inc.

Inventor： 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

IPC: G10L15/00 ,  G06F17/28 ,  G10L15/02 ,  G10L15/06

Abstract: 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.

公开(公告)号：US20180174595A1

公开(公告)日：2018-06-21

申请号：US15387038

申请日：2016-12-21

Applicant: Amazon Technologies, Inc.

Inventor： Leo Parker Dirac ,  Fabian Moerchen ,  Edo Liberty

IPC: G10L21/013 ,  G10L15/00 ,  G10L15/16 ,  G10L25/51

CPC classification number: G10L21/013 ,  G06F17/289 ,  G10L15/00 ,  G10L15/005 ,  G10L25/51

Abstract: Techniques for accent translation are described herein. A plurality of audio samples may be received, and each of the plurality of audio samples may be associated with at least one of a plurality of accents. Audio samples associated with at least a first accent of the plurality of accents may be compared to audio samples associated with at least one other accent of the plurality of accents. A translation model between the first accent and a second accent may be generated. An input audio portion in a first spoken language may be received. It may be determined whether the input audio portion is substantially associated with the first accent, and if so, an output audio portion substantially associated with the second accent in the first spoken language may be outputted based, at least in part, on the translation model.