Invention Application
- Patent Title: GENERATING TARGET SEQUENCES FROM INPUT SEQUENCES USING PARTIAL CONDITIONING
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Application No.: US16055414Application Date: 2018-08-06
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Publication No.: US20180342238A1Publication Date: 2018-11-29
- Inventor: Navdeep Jaitly , Quoc V. Le , Oriol Vinyals , Samuel Bengio , Ilya Sutskever
- Applicant: Google LLC
- Main IPC: G10L15/16
- IPC: G10L15/16 ; G06N3/04 ; G10L15/26 ; G10L15/02 ; G05B13/02 ; G06F17/28 ; G06F17/27

Abstract:
A system can be configured to perform tasks such as converting recorded speech to a sequence of phonemes that represent the speech, converting an input sequence of graphemes into a target sequence of phonemes, translating an input sequence of words in one language into a corresponding sequence of words in another language, or predicting a target sequence of words that follow an input sequence of words in a language (e.g., a language model). In a speech recognizer, the RNN system may be used to convert speech to a target sequence of phonemes in real-time so that a transcription of the speech can be generated and presented to a user, even before the user has completed uttering the entire speech input.
Public/Granted literature
- US10559300B2 Generating target sequences from input sequences using partial conditioning Public/Granted day:2020-02-11
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