Invention Grant
- Patent Title: End-to-end neural networks for speech recognition and classification
-
Application No.: US16887866Application Date: 2020-05-29
-
Publication No.: US11367433B2Publication Date: 2022-06-21
- Inventor: Adam Sypniewski , Jeff Ward , Scott Stephenson
- Applicant: Deepgram, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Deepgram, Inc.
- Current Assignee: Deepgram, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Cognition IP, P.C.
- Agent Edward Steakley
- Main IPC: G10L15/16
- IPC: G10L15/16 ; G10L15/06 ; G06N3/04 ; G06K9/62 ; G06N3/08 ; G10L25/18 ; G10L25/24 ; G06V10/44 ; G10L15/02 ; G10L15/22 ; G10L15/30 ; G10L15/197 ; G10L15/08

Abstract:
Systems and methods are disclosed for end-to-end neural networks for speech recognition and classification and additional machine learning techniques that may be used in conjunction or separately. Some embodiments comprise multiple neural networks, directly connected to each other to form an end-to-end neural network. One embodiment comprises a convolutional network, a first fully-connected network, a recurrent network, a second fully-connected network, and an output network. Some embodiments are related to generating speech transcriptions, and some embodiments relate to classifying speech into a number of classifications.
Public/Granted literature
- US20200294492A1 END-TO-END NEURAL NETWORKS FOR SPEECH RECOGNITION AND CLASSIFICATION Public/Granted day:2020-09-17
Information query