- Patent Title: Generating representations of input sequences using neural networks
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Application No.: US14728875Application Date: 2015-06-02
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Publication No.: US10275704B2Publication Date: 2019-04-30
- Inventor: Kanury Kanishka Rao , Fuchun Peng , Hasim Sak , Francoise Beaufays
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/04
- IPC: G06N3/04

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating representations of input sequences. One of the methods includes receiving a grapheme sequence, the grapheme sequence comprising a plurality of graphemes arranged according to an input order; processing the sequence of graphemes using a long short-term memory (LSTM) neural network to generate an initial phoneme sequence from the grapheme sequence, the initial phoneme sequence comprising a plurality of phonemes arranged according to an output order; and generating a phoneme representation of the grapheme sequence from the initial phoneme sequence generated by the LSTM neural network, wherein generating the phoneme representation comprises removing, from the initial phoneme sequence, phonemes in one or more positions in the output order.
Public/Granted literature
- US20150356075A1 GENERATING REPRESENTATIONS OF INPUT SEQUENCES USING NEURAL NETWORKS Public/Granted day:2015-12-10
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