Systems and methods of home-specific sound event detection
Systems and methods of a security system are provided, including detecting, by a sensor, a sound event, and selecting, by a processor coupled to the sensor, at least a portion of sound data captured by the sensor that corresponds to at least one sound feature of the detected sound event. The systems and methods include classifying the at least one sound feature into one or more sound categories, and determining, by a processor, based upon a database of home-specific sound data, whether the at least one sound feature is a human-generated sound. A notification can be transmitted to a computing device according to the sound event.
1. A method comprising:
detecting, by a sensor of a home security system, a sound event;
selecting, by a processor of the home security system that is communicatively coupled to the sensor, at least a portion of sound data captured by the sensor that corresponds to at least one sound feature of the detected sound event;
determining, by the processor, whether the at least one sound feature correlates to an unauthorized entry based upon home-specific sound data of the home security system including information regarding at least one feature selected from a list consisting of: a room size, a reverberation, and a distance between the sensor and a source of the at least the portion of sound data captured by the sensor as determined by the processor of the home security system; and
transmitting, by a communications interface coupled to the processor, a notification to a computing device when the at least one sound feature correlates to the unauthorized entry.
2. The method of claim 1 , wherein the determining whether the at least one sound feature correlates to the unauthorized entry comprises:
determining whether the at least one sound feature is a human-generated sound.
3. The method of claim 1 , wherein the determining whether the at least one sound feature correlates to the unauthorized entry comprises:
determining, whether the at least one sound feature is pet-generated.
4. The method of claim 1 , further comprising:
categorizing the at least one sound feature by:
using a dataset of sound events collected from homes;
extracting probability estimates of the at least one sound feature; and
using the probability estimates to derive at least one model for a predetermined number of categories.
5. The method of claim 4 , wherein the models are derived using at least one of the group consisting of: an unsupervised algorithm and a mixture of Gaussians.
6. The method of claim 1 , wherein the notification is transmitted to at least one from the group consisting of: a law enforcement provider system, a home security provider system, a medical provider system, and a fire department provider system.
7. The method of claim 1 , wherein the determining whether the at least one sound feature correlates to the unauthorized entry comprises:
determining, using at least one other sensor, a co-occurrence of the detected sound event using data generated by the at least one other sensor.
8. A home security system comprising:
a sensor to detect a sound event;
a processor coupled to the sensor to:
select at least a portion of sound data captured by the sensor that corresponds to at least one sound feature of the detected sound event;
determine, whether the at least one sound feature correlates to an unauthorized entry based upon home-specific sound data of the home security system that includes information regarding at least one feature selected from a list consisting of:
a room size, a reverberation, and a distance between the sensor and a source of the at least the portion of sound data captured by the sensor as determined by the processor of the home security system; and
a communications interface, coupled to the processor, to transmit a notification to a computing device when the at least one sound feature correlates to an unauthorized entry.
9. The system of claim 8 , wherein the processor determines that the at least the portion of sound data is from a sound event that is human-generated.
10. The system of claim 8 , wherein the processor determines that the at least the portion of sound data is from a sound event that is pet-generated.
11. The system of claim 8 , wherein the processor categorizes the at least one sound feature by using a dataset of sound events collected from homes, and extracts probability estimates of the at least one sound feature, and uses the probability estimates to derive at least one model for a predetermined number of categories.
12. The system of claim 11 , wherein the models are derived using at least one of group consisting of: an unsupervised algorithm, and a mixture of Gaussians.
13. The system of claim 8 , wherein the communications interface transmits a notification to at least one of the group consisting of: a law enforcement provider system, a home security provider system, a medical provider system, and a fire department provider system.
14. The system of claim 8 , further comprising:
at least one other sensor,
wherein the processor determines whether the at least one sound feature correlates to the unauthorized entry by determining a co-occurrence of the detected sound event using data generated by at least one other sensor.