- Patent Title: Domain-specific speech recognizers in a digital medium environment
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Application No.: US15423429Application Date: 2017-02-02
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Publication No.: US10586528B2Publication Date: 2020-03-10
- Inventor: Ramesh Radhakrishna Manuvinakurike , Trung Huu Bui , Robert S. N. Dates
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: SBMC
- Main IPC: G10L15/06
- IPC: G10L15/06 ; G10L15/197 ; G10L15/02 ; G10L15/16 ; G10L15/22 ; G06Q10/10

Abstract:
Domain-specific speech recognizer generation with crowd sourcing is described. The domain-specific speech recognizers are generated for voice user interfaces (VUIs) configured to replace or supplement application interfaces. In accordance with the described techniques, the speech recognizers are generated for a respective such application interface and are domain-specific because they are each generated based on language data that corresponds to the respective application interface. This domain-specific language data is used to build a domain-specific language model. The domain-specific language data is also used to collect acoustic data for building an acoustic model. In particular, the domain-specific language data is used to generate user interfaces that prompt crowd-sourcing participants to say selected words represented by the language data for recording. The recordings of these selected words are then used to build the acoustic model. The domain-specific speech recognizers are generated by combining a respective domain-specific language model and crowd-sourced acoustic model.
Public/Granted literature
- US20180218728A1 Domain-Specific Speech Recognizers in a Digital Medium Environment Public/Granted day:2018-08-02
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