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US Patent 11776531 Encoder-decoder models for sequence to sequence mapping

Patent 11776531 was granted and assigned to Google on October, 2023 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
Current Assignee
Google
Google
Date Filed
May 28, 2020
Date of Patent
October 3, 2023
Patent Applicant
Google
Google
Patent Application Number
16886278
Patent Citations
‌
US Patent 8239195 Adapting a compressed model for use in speech recognition
‌
US Patent 8340308 Method and apparatus for automatic noise compensation used with audio reproduction equipment
‌
US Patent 8442125 Determining popularity ratings using social and interactive applications for mass media
‌
US Patent 8463719 Audio classification for information retrieval using sparse features
‌
US Patent 8615397 Identifying audio content using distorted target patterns
‌
US Patent 8782012 Network analysis
‌
US Patent 8849185 Hybrid audio delivery system and method therefor
‌
US Patent 8930192 Computer-based grapheme-to-speech conversion using a pointing device
‌
US Patent 8965112 Sequence transcription with deep neural networks
‌
US Patent 9123338 Background audio identification for speech disambiguation
•••
Patent Inventor Names
Sean Matthew Shannon
Hasim Sak
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11776531
Patent Primary Examiner
‌
Daniel C Washburn
CPC Code
‌
G10L 15/063
‌
G10L 15/16
‌
G06N 3/0454
‌
G06N 3/02
‌
G06N 3/0445
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G06N 3/084

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