Gracenote, Inc. (20240242730). Methods and Apparatus to Fingerprint an Audio Signal simplified abstract
Contents
Methods and Apparatus to Fingerprint an Audio Signal
Organization Name
Inventor(s)
Alexander Topchy of New Port Richey FL (US)
Christen V. Nielsen of Dunedin FL (US)
Jeremey M. Davis of New Port Richey FL (US)
Methods and Apparatus to Fingerprint an Audio Signal - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240242730 titled 'Methods and Apparatus to Fingerprint an Audio Signal
Simplified Explanation: The patent application describes a method and apparatus for fingerprinting an audio signal by segmenting the signal, normalizing segments, generating subfingerprints, evaluating portion strength, and replacing portions if necessary.
- Segmentation of audio signal
- Normalization of segments
- Generation of subfingerprints
- Evaluation of portion strength
- Replacement of portions if needed
Potential Applications: This technology could be used in audio recognition systems, copyright protection, content identification, and music recommendation services.
Problems Solved: This technology addresses the challenges of accurately fingerprinting audio signals, detecting energy extremums, and ensuring robustness against changes in the signal.
Benefits: The benefits of this technology include improved accuracy in audio fingerprinting, enhanced content identification capabilities, and increased reliability in music recommendation systems.
Commercial Applications: "Audio Fingerprinting Technology for Content Identification and Music Recommendation Systems"
This technology could be utilized by streaming platforms, music services, copyright enforcement agencies, and security firms to enhance content identification, copyright protection, and user experience.
Prior Art: Prior art related to this technology may include research on audio fingerprinting algorithms, signal processing techniques for audio analysis, and content identification systems in the music industry.
Frequently Updated Research: Researchers in the field of audio signal processing and content identification continue to explore new algorithms, methods, and applications for improving audio fingerprinting technology.
Questions about Audio Fingerprinting Technology: 1. How does audio fingerprinting technology differ from traditional audio recognition methods? 2. What are the key challenges in developing robust audio fingerprinting algorithms?
Question 1: What are the key challenges in developing robust audio fingerprinting algorithms?
Question 2: How does audio fingerprinting technology differ from traditional audio recognition methods?
Original Abstract Submitted
methods, apparatus, systems, and articles of manufacture to fingerprint an audio signal. an example apparatus disclosed herein includes an audio segmenter to divide an audio signal into a plurality of audio segments, a bin normalizer to normalize the second audio segment to thereby create a first normalized audio segment, a subfingerprint generator to generate a first subfingerprint from the first normalized audio segment, the first subfingerprint including a first portion corresponding to a location of an energy extremum in the normalized second audio segment, a portion strength evaluator to determine a likelihood of the first portion to change, and a portion replacer to, in response to determining the likelihood does not satisfy a threshold, replace the first portion with a second portion to thereby generate a second subfingerprint.
