公开(公告)号：US20170092278A1

公开(公告)日：2017-03-30

申请号：US15163392

申请日：2016-05-24

Applicant: Apple Inc.

Inventor： Gunnar EVERMANN ,  Donald R. MCALLASTER

IPC: G10L17/24 ,  G10L17/26 ,  G10L17/04 ,  G10L15/18 ,  G10L17/06

CPC classification number: G10L17/24 ,  G10L15/22 ,  G10L17/04 ,  G10L17/08

Abstract: A non-transitory computer-readable storage medium stores one or more programs including instructions, which when executed by an electronic device, cause the electronic device to receive natural-language speech input from one of a plurality of users, the natural-language speech input having a set of acoustic properties; and determine whether the natural-language speech input corresponds to both a user-customizable lexical trigger and a set of acoustic properties associated with the user; where in accordance with a determination that the natural language speech input corresponds to both a user-customizable lexical trigger and a set of acoustic properties associated with the user, invoke a virtual assistant; and in accordance with a determination that either the natural language speech input fails to correspond to a user-customizable lexical trigger or the natural-language speech input fails to have a set of acoustic properties associated with the user, forego invocation of a virtual assistant.

公开(公告)号：US20190278841A1

公开(公告)日：2019-09-12

申请号：US16024425

申请日：2018-06-29

Applicant: Apple Inc.

Inventor： Ernest J. PUSATERI ,  Bharat Ram AMBATI ,  Elizabeth S. BROOKS ,  Donald R. MCALLASTER ,  Venkatesh NAGESHA ,  Ondrej PLATEK

IPC: G06F17/27 ,  G10L15/22 ,  G10L15/26 ,  G10L15/30

Abstract: Techniques for inverse text normalization are provided. In some examples, speech input is received and a spoken-form text representation of the speech input is generated. The spoken-form text representation includes a token sequence. A feature representation is determined for the spoken-form text representation and a sequence of labels is determined based on the feature representation. The sequence of labels is assigned to the token sequence and specifies a plurality of edit operations to perform on the token sequence. Each edit operation of the plurality of edit operations corresponds to one of a plurality of predetermined types of edit operations. A written-form text representation of the speech input is generated by applying the plurality of edit operations to the token sequence in accordance with the sequence of labels. A task responsive to the speech input is performed using the generated written-form text representation.