Invention Application
- Patent Title: SPEECH RECOGNITION WITH SEQUENCE-TO-SEQUENCE MODELS
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Application No.: US18815200Application Date: 2024-08-26
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Publication No.: US20240420686A1Publication Date: 2024-12-19
- Inventor: Rohit Prakash Prabhavalkar , Zhifeng Chen , Bo Li , Chung-Cheng Chiu , Kanury Kanishka Rao , Yonghui Wu , Ron J. Weiss , Navdeep Jaitly , Michiel A. U. Bacchiani , Tara N. Sainath , Jan Kazimierz Chorowski , Anjuli Patricia Kannan , Ekaterina Gonina , Patrick An Phu Nguyen
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G10L15/16
- IPC: G10L15/16 ; G06N3/08 ; G10L15/02 ; G10L15/06 ; G10L15/22 ; G10L15/26 ; G10L25/30

Abstract:
A method for performing speech recognition using sequence-to-sequence models includes receiving audio data for an utterance and providing features indicative of acoustic characteristics of the utterance as input to an encoder. The method also includes processing an output of the encoder using an attender to generate a context vector, generating speech recognition scores using the context vector and a decoder trained using a training process, and generating a transcription 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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