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公开(公告)号:US10909331B2
公开(公告)日:2021-02-02
申请号:US16024475
申请日:2018-06-29
Applicant: Apple Inc.
Inventor: Stephan Peitz , Udhyakumar Nallasamy , Matthias Paulik , Yun Tang
Abstract: Systems and processes for operating an electronic device to train a machine-learning translation system are described. In one process, a first set of training data is obtained. The first set of training data includes at least one payload in a first language and a translation of the at least one payload in a second language. The process further includes obtaining one or more templates for adapting the at least one payload; adapting the at least one payload using the one or more templates to generate at least one adapted payload formulated as a translation request; generating a second set of training data based on the at least one adapted payload; and training the machine-learning translation system using the second set of training data.
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公开(公告)号:US10255907B2
公开(公告)日:2019-04-09
申请号:US14846650
申请日:2015-09-04
Applicant: Apple Inc.
Inventor: Udhyakumar Nallasamy , Sachin S. Kajarekar , Matthias Paulik , Matthew Seigel
Abstract: Systems and processes for automatic accent detection are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a user input, determining a first similarity between a representation of the user input and a first acoustic model of a plurality of acoustic models, and determining a second similarity between the representation of the user input and a second acoustic model of the plurality of acoustic models. The method further includes determining whether the first similarity is greater than the second similarity. In accordance with a determination that the first similarity is greater than the second similarity, the first acoustic model may be selected; and in accordance with a determination that the first similarity is not greater than the second similarity, the second acoustic model may be selected.
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