NEURAL NETWORK FOR RECOGNITION OF SIGNALS IN MULTIPLE SENSORY DOMAINS
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
N/A
Issued Date -
N/A
app pub date -
Jul 15, 2016
filing date -
Jul 15, 2016
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
Apparatus and method for training a neural network for signal recognition in multiple sensory domains, such as audio and video domains, are provided. For example, an identity of a speaker in a video clip may be identified based on audio and video features extracted from the video clip and comparisons of the extracted audio and video features to stored audio and video features with their associated labels obtained from one or more training video clips. In another example, a direction of sound propagation or a location of a sound source in a video clip may be determined based on the audio and video features extracted from the video clip and comparisons of the extracted audio and video features to stored audio and video features with their associated direction or location labels obtained from one or more training video clips.
First Claim
Family
International Classification(s)
- [Classification Symbol]
- [Patents Count]
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully