Audio Fingerprint Extraction Using an Adapted Computational Geometry Algorithm
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
The three-model screen
all 1,000 screened works →All three models called this out of scope.
Audio fingerprinting algorithm; a signal-processing contribution in its own domain.
The work develops an audio fingerprinting algorithm rather than studying research practice.
Domain CS work on an audio fingerprinting algorithm; object is signal processing, not research practice.
Abstract
This work presents an adapted version of the Computational Geometry Algorithm (CGA) used for the development of audio-based applications and services. The CGA algorithm analyses an audio stream and produces a unique set of points that can be considered to be the audio data “fingerprint”. It is shown that this fingerprint is coding-independent, a fact that can render the proposed algorithm suitable for multiple purposes, including the categorisation of content identity and the identification of audio clips, hence providing support for the realisation of audio sorting/searching tasks and services. Additionally, based on specific novel applications and services, the overall algorithmic performance and efficiency characteristics of the CGA algorithm are discussed and analysed.
Stored with the screening record, where it is evidence for the labels above.
The record
- Venue
- Computer and Information Science
- Topic
- Music Technology and Sound Studies
- Field
- Computer Science
- Canadian institutions
- —
- Funders
- —
- Keywords
- Computer scienceFingerprint (computing)Coding (social sciences)AlgorithmSortingSet (abstract data type)Identification (biology)Audio signalSpeech recognitionArtificial intelligenceSpeech coding
- Has abstract in OpenAlex
- yes