Crowd noise analysis
First Claim
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1. A method for analyzing crowd noise, comprising:
- receiving an audio stream for an event having a first participant and a second participant located at a venue, the audio stream containing crowd noise from a crowd that is distinct from the first participant and the second participant;
determining a geography for the event, the geography including geographic characteristics that include a geographic location of the venue of the event;
time coding the audio stream;
comparing a geographic characteristic of the first and second participants to the geographic characteristics of the event to identify one of the first participant or the second participant as a home participant of the event;
normalizing the audio stream based on the geography and the home participant; and
processing substantially an entirety of the audio stream with a computer device to remove undesired artifacts and to identify, from noise levels in the substantially the entirety of the audio stream, a set of highlights from the crowd noise.
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Abstract
The present invention generally provides a way to analyze crowd noise to identify “highlights” or the like. Specifically, an audio stream containing crowd noise from an event (e.g., sporting event, political rally, religious gathering, etc) is captured (e.g., using microphones) and time coded. The audio stream is normalized based on geography and processed to remove undesired artifacts and to identify a set (at least one) of highlights. Based on at least one threshold, at least one highlight is selected from the set of highlights.
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Citations
22 Claims
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1. A method for analyzing crowd noise, comprising:
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receiving an audio stream for an event having a first participant and a second participant located at a venue, the audio stream containing crowd noise from a crowd that is distinct from the first participant and the second participant; determining a geography for the event, the geography including geographic characteristics that include a geographic location of the venue of the event; time coding the audio stream; comparing a geographic characteristic of the first and second participants to the geographic characteristics of the event to identify one of the first participant or the second participant as a home participant of the event; normalizing the audio stream based on the geography and the home participant; and processing substantially an entirety of the audio stream with a computer device to remove undesired artifacts and to identify, from noise levels in the substantially the entirety of the audio stream, a set of highlights from the crowd noise. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for analyzing crowd noise, comprising:
a computer system, having; a module for receiving an audio stream for an event having a first participant and a second participant located at a venue, the audio stream containing crowd noise from a crowd that is distinct from the first participant and the second participant; a module for time coding the audio stream; a module for normalizing the audio stream configured to; determine a geography for the event, the geography including geographic characteristics that include a geographic location of the venue of the event; compare a geographic characteristic of the first and second participants to the geographic characteristics of the event to identify one of the first participant or the second participant as a home participant of the event; and normalize the audio stream based on the geography and the home participant; and a module for processing substantially an entirety of the audio stream to remove undesired artifacts and to identify, from noise levels in the substantially the entirety of the audio stream, a set of highlights from the crowd noise. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer readable storage device having a program product for analyzing crowd noise stored thereon, the computer readable storage device comprising program code for causing a computer system to:
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receive an audio stream for an event having a first participant and a second participant located at a venue, the audio stream containing crowd noise from a crowd that is distinct from the first participant and the second participant; determine a geography for the event, the geography including geographic characteristics that include a geographic location of the venue of the event; time code the audio stream; compare a geographic characteristic of the first and second participants to the geographic characteristics of the event to identify one of the first participant or the second participant as a home participant of the event; normalize the audio stream based on the geography and the home participant; and process substantially an entirety of the audio stream to remove undesired artifacts and to identify, from noise levels in the substantially the entirety of the audio stream, a set of highlights from the crowd noise. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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22. A method for deploying a system for analyzing crowd noise, comprising:
providing a computer infrastructure having a computer device being operable to; receive an audio stream for an event having a first participant and a second participant located at a venue, the audio stream containing crowd noise from a crowd that is distinct from the first participant and the second participant; determine a geography for the event, the geography including geographic characteristics that include a geographic location of the venue of the event; time code the audio stream; compare a geographic characteristic of the first and second participants to the geographic characteristics of the event to identify one of the first participant or the second participant as a home participant of the event; normalize the audio stream based on the geography and the home participant; and process substantially an entirety of the audio stream to remove undesired artifacts and to identify, from noise levels in the substantially the entirety of the audio stream, a set of highlights from the crowd noise.
Specification