Invention Grant
- Patent Title: Systems and methods for providing unnormalized language models
- Patent Title (中): 提供非规范化语言模型的系统和方法
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Application No.: US14689564Application Date: 2015-04-17
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Publication No.: US09524716B2Publication Date: 2016-12-20
- Inventor: Abhinav Sethy , Stanley Chen , Bhuvana Ramabhadran , Paul J. Vozila
- Applicant: Nuance Communications, Inc.
- Applicant Address: US MA Burlington
- Assignee: Nuance Communications, Inc.
- Current Assignee: Nuance Communications, Inc.
- Current Assignee Address: US MA Burlington
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/16 ; G10L15/06

Abstract:
Some embodiments relate to using an unnormalized neural network language model in connection with a speech processing application. The techniques include obtaining a language segment sequence comprising one or more language segments in a vocabulary; accessing an unnormalized neural network language model having a normalizer node and an output layer comprising a plurality of output nodes, each of the plurality of output nodes associated with a respective language segment in the vocabulary; and determining, using the unnormalized neural network language model, a first likelihood that a first language segment in the vocabulary follows the language segment sequence.
Public/Granted literature
- US20160307564A1 SYSTEMS AND METHODS FOR PROVIDING UNNORMALIZED LANGUAGE MODELS Public/Granted day:2016-10-20
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