02-06-2012, 05:34 PM
Audio Fingerprinting
[attachment=24062]
What is Audio Fingerprinting?
a small, unknown segment of audio data (it can be as short as just a couple of seconds) is used to identify the original audio file from which it came
Applications
Broadcast monitoring
playlist generation
royalty collection
ad verification
Connected Audio
general term for consumer applications
Other
Napster--use of fingerprinting systems to prohibit the transmission of copywritten materials
Finding desired content efficiently in “an overwhelming amount of audio material”
Benefits”
Automated search of illegal content on the Internet
examines the real audio information rather than just tag information
For the consumer
make the meta-data of songs in a library consistent, allowing for easy organization
can guarantee that what is downloaded is actually what it says it is
will allow consumer to record signatures of sound and music on small handheld devices
Two principle components
Compute the fingerprint
Compare it to a database of previously computed fingerprints
A text example: “…in a box. I will not eat them with a fox. I…”
Details to worry about
Robustness (to noise, distortion)
Reliability
Fingerprint size (reduced dimensionality)
Granularity
Search speed and scalablity
Computationally efficient
Resulting features must be informative about the audio content
Semantic or non-semantic features?
Hash table or vector representation?
[attachment=24062]
What is Audio Fingerprinting?
a small, unknown segment of audio data (it can be as short as just a couple of seconds) is used to identify the original audio file from which it came
Applications
Broadcast monitoring
playlist generation
royalty collection
ad verification
Connected Audio
general term for consumer applications
Other
Napster--use of fingerprinting systems to prohibit the transmission of copywritten materials
Finding desired content efficiently in “an overwhelming amount of audio material”
Benefits”
Automated search of illegal content on the Internet
examines the real audio information rather than just tag information
For the consumer
make the meta-data of songs in a library consistent, allowing for easy organization
can guarantee that what is downloaded is actually what it says it is
will allow consumer to record signatures of sound and music on small handheld devices
Two principle components
Compute the fingerprint
Compare it to a database of previously computed fingerprints
A text example: “…in a box. I will not eat them with a fox. I…”
Details to worry about
Robustness (to noise, distortion)
Reliability
Fingerprint size (reduced dimensionality)
Granularity
Search speed and scalablity
Computationally efficient
Resulting features must be informative about the audio content
Semantic or non-semantic features?
Hash table or vector representation?