Speech recognition with sequence-to-sequence models

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United States of America Patent

PATENT NO 11145293
SERIAL NO

16516390

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Abstract

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Methods, systems, and apparatus, including computer-readable media, for performing speech recognition using sequence-to-sequence models. An automated speech recognition (ASR) system receives audio data for an utterance and provides features indicative of acoustic characteristics of the utterance as input to an encoder. The system processes an output of the encoder using an attender to generate a context vector and generates speech recognition scores using the context vector and a decoder trained using a training process that selects at least one input to the decoder with a predetermined probability. An input to the decoder during training is selected between input data based on a known value for an element in a training example, and input data based on an output of the decoder for the element in the training example. A transcription is generated for the utterance using word elements selected based on the speech recognition scores. The transcription is provided as an output of the ASR system.

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Patent Owner(s)

Patent OwnerAddress
GOOGLE LLC1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bacchiani, Michiel A U Summit, US 32 351
Chen, Zhifeng Sunnyvale, US 109 1008
Chiu, Chung-Cheng Sunnyvale, US 33 191
Chorowski, Jan Kazimierz Poland, PL 3 38
Gonina, Ekaterina Sunnyvale, US 3 38
Jaitly, Navdeep Mountain View, US 41 271
Kannan, Anjuli Patricia Berkeley, US 8 94
Li, Bo Fremont, US 785 4905
Nguyen, Patrick An Phu Palo Alto, US 21 783
Prabhavalkar, Rohit Prakash Santa Clara, US 36 224
Rao, Kanury Kanishka Santa Clara, US 20 417
Sainath, Tara N Jersey City, US 180 3361
Weiss, Ron J New York, US 40 927
Wu, Yonghui Fremont, US 87 554

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