Not only is it basically the same song as Part Time Lover*, Maneater also finds its way into Walking on a Dream, if you like to see it that way.
*though I hear "One is in B Minor, the other in B Flat Minor." -the internet
--Hall and Oats, "Maneater", 1:13
--Empire Of The Sun, "Walking On A Dream", 0:53
But more importantly,
--Empire of the Sun, "Walking on a Dream", 0:53
--Billy Ocean, "Carribbean Queen", 1:00
the melody is the same, the lyrics sound the same, and they occur at almost the same point in the song.
"...and our hearts can beat as one, no more love on the run."
And more recently discovered,
snap to the bridge:
--Stevie Wonder, "Ngicuela Es Una Historia - I am Singing" (1976)
1:35 - 1:59
--Quadron, "LFT" (2013)
0:55 - 1:10
Post Script
Beck's "The Golden Age" (2000)
Black Prairie's "What You Gave Me" (2011)
same song basically
"In Transit", Albert Hammond Jr., 1:11
"Some Guys Have All the Luck", Rod Stewart, 0:19
Post Post Script, music-recognizing algorithms
Moodbar
Moodbar is a computer visualization used for navigating within a piece of music. This is done with a horizontal bar that is divided into vertical stripes. Each stripe has a colour showing the "mood" within a short part of the song. The colour can depend on spectrum and/or rhythmic features of the part of the song. The parts of the song (intro, choruses, solos, accents etc.) as well as musical changes (dynamics, rhythm, texture, playing instruments) are clearly visible on the bar
Wood, Gavin; O'Keefe, Simon (2005). "On Techniques for Content-Based Visual Annotation to Aid Intra-Track Music Navigation and Fin-de-Siècle Predilections". Retrieved 2007-12-14.
Music Genome Project
A given song is represented by a vector (a list of attributes) containing approximately 400 "genes" (analogous to trait-determining genes for organisms in the field of genetics). Each gene corresponds to a characteristic of the music, for example, gender of lead vocalist, level of distortion on the electric guitar, type of background vocals, etc. proprietary, for Pandora
Acoustic Fingerprinting
mostly for song recognition/identification (for use with copyright bots, for example, or Shazam), not for visualizational or relational data use
MusicBrainz
MusicBrainz captures information about artists, their recorded works, and the relationships between them. Recorded works entries capture at a minimum the album title, track titles, and the length of each track. These entries are maintained by volunteer editors who follow community written style guidelines. Recorded works can additionally store information about the release date and country, the CD ID, cover art, acoustic fingerprint, free-form annotation text and other metadata. As of 19 April 2013, MusicBrainz contained information about 750,000 artists, 1 million releases, and 12 million recordings.
"Database Statistics". MusicBrainz. Retrieved 2013-04-19.
Moodagent is a commercial service from Syntonetic that combines digital signal processing and AI techniques to create music profiles that incorporate characteristics such as mood, emotion, genre, style, instrument, vocals, orchestration, production, and beat/tempo
links:
Justify My Heart, the readymade mashup instructions for Madonna's "Justify my Love" and Alicia Keys "Listen to Your Heart"
Artificial intelligence identifies the musical progression of the Beatles
July 2014, phys.org
...computer scientists at Lawrence Technological University have developed an artificial intelligence algorithm that can analyze and compare musical styles, enabling research into the musical progression of the Beatles.
The algorithm works by first converting each song to a spectrogram – a visual representation of the audio content. That turns an audio analysis task into an image analysis problem, which is solved by applying comprehensive algorithms that turn each music spectrogram into a set of almost 3,000 numeric descriptors reflecting visual aspects such as textures, shapes and the statistical distribution of the pixels. Pattern recognition and statistical methods are then used to detect and quantify the similarities between different pieces of music.
The automatic placement of the albums by the algorithm was in agreement with the chronological order of the recording of each album, starting with the Beatles' first album, "Please, Please Me," and followed by the subsequent early albums, "With the Beatles," "Beatles for Sale" and "A Hard Day's Night."
July 2014, phys.org
...computer scientists at Lawrence Technological University have developed an artificial intelligence algorithm that can analyze and compare musical styles, enabling research into the musical progression of the Beatles.
The algorithm works by first converting each song to a spectrogram – a visual representation of the audio content. That turns an audio analysis task into an image analysis problem, which is solved by applying comprehensive algorithms that turn each music spectrogram into a set of almost 3,000 numeric descriptors reflecting visual aspects such as textures, shapes and the statistical distribution of the pixels. Pattern recognition and statistical methods are then used to detect and quantify the similarities between different pieces of music.
The automatic placement of the albums by the algorithm was in agreement with the chronological order of the recording of each album, starting with the Beatles' first album, "Please, Please Me," and followed by the subsequent early albums, "With the Beatles," "Beatles for Sale" and "A Hard Day's Night."
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