Speech recognition with sequence-to-sequence models
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United States of America Patent
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Oct 12, 2021
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Jul 19, 2019
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Jul 20, 2018
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Abstract
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)
- GOOGLE LLC
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- [Patents Count]
Inventor(s)
Inventor Name | Address | # of filed Patents | Total Citations |
---|---|---|---|
Bacchiani, Michiel A U | Summit, US | 29 | 322 |
Chen, Zhifeng | Sunnyvale, US | 95 | 844 |
Chiu, Chung-Cheng | Sunnyvale, US | 29 | 145 |
Chorowski, Jan Kazimierz | Poland, PL | 2 | 28 |
Gonina, Ekaterina | Sunnyvale, US | 2 | 28 |
Jaitly, Navdeep | Mountain View, US | 38 | 212 |
Kannan, Anjuli Patricia | Berkeley, US | 7 | 66 |
Li, Bo | Fremont, US | 684 | 4281 |
Nguyen, Patrick An Phu | Palo Alto, US | 19 | 627 |
Prabhavalkar, Rohit Prakash | Santa Clara, US | 29 | 142 |
Rao, Kanury Kanishka | Santa Clara, US | 17 | 347 |
Sainath, Tara N | Jersey City, US | 165 | 2873 |
Weiss, Ron J | New York, US | 35 | 748 |
Wu, Yonghui | Fremont, US | 72 | 396 |
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