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US Patent 11328731 Phone-based sub-word units for end-to-end speech recognition

Patent 11328731 was granted and assigned to Salesforce.com, Inc. on May, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
1

Patent attributes

Patent Applicant
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1
Current Assignee
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1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
113287311
Patent Inventor Names
Caiming Xiong1
Weiran Wang1
Yingbo Zhou1
Date of Patent
May 10, 2022
1
Patent Application Number
169039641
Date Filed
June 17, 2020
1
Patent Citations
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US Patent 10546217 Training a neural network using augmented training datasets
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US Patent 10558750 Spatial attention model for image captioning
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US Patent 10565305 Adaptive attention model for image captioning
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US Patent 10565306 Sentinel gate for modulating auxiliary information in a long short-term memory (LSTM) neural network
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US Patent 10565318 Neural machine translation with latent tree attention
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US Patent 10565493 Pointer sentinel mixture architecture
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US Patent 10573295 End-to-end speech recognition with policy learning
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US Patent 10592767 Interpretable counting in visual question answering
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Patent Citations Received
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US Patent 11893983 Adding words to a prefix tree for improving speech recognition
26
Patent Primary Examiner
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Ibrahim Siddo
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CPC Code
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G10L 15/26
1

System and methods for identifying a text word from a spoken utterance are provided. An ensemble BPE system that includes a phone BPE system and a character BPE system receives a spoken utterance. Both BPE systems include a multi-level language model (LM) and an acoustic model. The phone BPE system identifies first words from the spoken utterance and determine a first score for each first word. The first words are converted into character sequences. The character BPE model converts the character sequences into second words and determines a second score for each second word. For each word from the first words that matches a word in the second words the first and second scores are combined. The text word is the word with a highest score.

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