Selective sampling for sound signal classification
First Claim
1. A method for sound signal classification, comprising:
- receiving a sound signal;
specifying meta-data to be extracted from the sound signal;
dividing the sound signal into a set of frames;
applying a fitness function to the frames to create a set of fitness data;
selecting a frame from the set of frames, if the frame'"'"'s corresponding fitness datum within the set of fitness data exceeds a predetermined threshold value;
extracting the meta-data from the selected frames; and
classifying the sound signal based on the meta-data extracted from the selected frames;
wherein the selecting includes selecting a frame for in meta-data extraction, if the frame'"'"'s fitness datum exceeds a greatest fitness datum within the set of fitness data minus a predetermined margin.
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Abstract
A system and method of selective sampling for sound signal classification is disclosed. The method of the present invention discloses the elements of: receiving a sound signal; specifying meta-data to be extracted from the sound signal; dividing the sound signal into a set of frames; applying a fitness function to the frames to create a set of fitness data; selecting a frame from the set of frames, if the frame'"'"'s corresponding fitness datum within the set of fitness data exceeds a predetermined threshold value; extracting the meta-data from the selected frames; and classifying the sound signal based on the meta-data extracted from the selected frames. The system of the present invention discloses means for implementing the method.
18 Citations
19 Claims
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1. A method for sound signal classification, comprising:
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receiving a sound signal; specifying meta-data to be extracted from the sound signal; dividing the sound signal into a set of frames; applying a fitness function to the frames to create a set of fitness data; selecting a frame from the set of frames, if the frame'"'"'s corresponding fitness datum within the set of fitness data exceeds a predetermined threshold value; extracting the meta-data from the selected frames; and classifying the sound signal based on the meta-data extracted from the selected frames; wherein the selecting includes selecting a frame for in meta-data extraction, if the frame'"'"'s fitness datum exceeds a greatest fitness datum within the set of fitness data minus a predetermined margin. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method for sound signal classification comprising:
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receiving a speech signal; specifying meta-data to be extracted from the sound signal; dividing the sound signal into a set of equal length time frames; applying a fitness function to the frames to create a set of fitness data; selecting a frame for meta-data extraction;
if the frame'"'"'s fitness datum exceeds a greatest fitness datum within the set of fitness data minus a predetermined margin;extracting the meta-data from the selected frames using a Multi-Layer Perceptron (MLP) neutral network; adding together each of the selected frame'"'"'s confidence scores for each meta-data class; and assigning the sound signal to that meta-data class having a highest total confidence score. - View Dependent Claims (19)
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18. A system for sound signal classification comprising:
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means for receiving a sound signal; means for specifying meta-data to be extracted from the sound signal; means for dividing the sound signal into a set of frames; means for applying a fitness function to the frames to create a set of fitness data; means for selecting frame from the set of frames, if the frame'"'"'s corresponding fitness datum within the set of fitness data exceeds a predetermined threshold value, the means for selecting includes means for setting the predetermined threshold value so that a ratio of frames selected to frames not selected is between about 1;
2 and about 1;
3;means for extracting the meta-data from the selected frames; and moans for classifying to sound signal based on the meta-data extracted from the selected frames.
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Specification