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Search by sound is the retrieval of information based on audio input. There are a handful of applications, specifically for mobile devices that utilize search by sound. Shazam, Soundhound, Axwave, ACRCloud and others have seen considerable success by using a simple algorithm to match an acoustic fingerprint to a song in a library.
Optical music recognition (OMR) is a field of research that investigates how to computationally read musical notation in documents. [1] The goal of OMR is to teach the computer to read and interpret sheet music and produce a machine-readable version of the written music score.
This unit (about US$3,500) can tune multiple notes of a sound or chord, displaying each note's overtone sub-structure simultaneously. This gives an overall picture of tuning within a sound, note or chord that is not possible with most other tuning devices. (The TC Electronic Polytune can display the pitch accuracy of up to six pre-selected notes.)
The International Society for Music Information Retrieval (ISMIR) is an international forum for research on the organization of music-related data.It started as an informal group steered by an ad hoc committee in 2000 [1] which established a yearly symposium - whence "ISMIR", which meant International Symposium on Music Information Retrieval.
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Sound recognition can classify feature vectors. Feature vectors are created as a result of preliminary data processing and linear predictive coding. Sound recognition technologies are used for: Music recognition; Speech recognition; Automatic alarm detection and identification for surveillance, monitoring systems, based on the acoustic environment
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Resolution in Western tonal music theory is the move of a note or chord from dissonance (an unstable sound) to a consonance (a more final or stable sounding one). Dissonance, resolution, and suspense can be used to create musical interest.