EVENT RECOGNITION
First Claim
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1. A method for detecting an event from an audio signal that includes static and dynamic features for a plurality of frames, comprising:
- calculating at least one statistical value for each frame based on the static features and dynamic features, wherein a dynamic feature weight for the dynamic features is greater than a static feature weight for the static features;
associating an event identifier to each frame based on the at least one statistical value for each frame, the event identifier representing one event from a plurality of events;
applying a filter to each frame, the filter including a window of frames surrounding each frame to determine if the event identifier for each frame should be modified; and
providing an output of each event identifier for the plurality of frames.
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Abstract
Recognition of events can be performed by accessing an audio signal having static and dynamic features. A value for the audio signal can be calculated by utilizing different weights for the static and dynamic features such that a frame of the audio signal can be associated with a particular event. A filter can also be used to aid in determining the event for the frame.
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Citations
20 Claims
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1. A method for detecting an event from an audio signal that includes static and dynamic features for a plurality of frames, comprising:
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calculating at least one statistical value for each frame based on the static features and dynamic features, wherein a dynamic feature weight for the dynamic features is greater than a static feature weight for the static features; associating an event identifier to each frame based on the at least one statistical value for each frame, the event identifier representing one event from a plurality of events; applying a filter to each frame, the filter including a window of frames surrounding each frame to determine if the event identifier for each frame should be modified; and providing an output of each event identifier for the plurality of frames. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for detecting an event from an audio signal that includes static and dynamic features for a plurality of frames, comprising:
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an input layer for collecting the audio signal; an event layer coupled to the input layer and adapted to; receive the audio signal to calculate at least one statistical value for each frame based on the static features and dynamic features, wherein a dynamic feature weight for the dynamic features is greater than a static feature weight for the static features; associate an event identifier to each frame based on the at least one statistical value for each frame, the event identifier representing one event from a plurality of events; apply a filter to each frame, the filter including a window of frames surrounding each frame to determine if the event identifier for each frame should be modified; and provide an output of each event identifier for the plurality of frames; and a decision layer coupled to the event layer and adapted to perform a decision based on the output from the event layer. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A method adjusting an event model used for detecting an event from an audio signal that includes static and dynamic features for a plurality of frames, comprising:
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accessing the event model; adjusting weights for the static and dynamic features such that a dynamic feature weight for the dynamic features is greater than a static feature weight for the static features using a plurality of training instances having audio signals representing events from a plurality of events; adjusting a window size for a filter, the window size being a number of frames surrounding a frame to determine if the event identifier for each frame should be modified; and providing an output of an adjusted event model for recognizing an event from an audio signal based on the dynamic feature weight, the static feature weight and the window size. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification