CITATION — REFERENCE ENTRY
Chordify: Chord transcription for the masses — Digital Humanities Benelux Conference 2014
- Key
- dehaas2014-chordify
- Authors
- de Haas, W. Bas; Magalhães, José Pedro; ten Heggeler, Dion; Bekenkamp, Gijs; Ruizendaal, Tijmen
- Issued
- 2014
- Type
- paper-conference
- Container
- Digital Humanities Benelux Conference 2014
Raw CSL JSON
{
"URL": "https://dspace.library.uu.nl/handle/1874/303790",
"type": "paper-conference",
"title": "Chordify: Chord transcription for the masses",
"author": [
{
"given": "W. Bas",
"family": "de Haas"
},
{
"given": "José Pedro",
"family": "Magalhães"
},
{
"given": "Dion",
"family": "ten Heggeler"
},
{
"given": "Gijs",
"family": "Bekenkamp"
},
{
"given": "Tijmen",
"family": "Ruizendaal"
}
],
"issued": {
"date-parts": [
[
2014
]
]
},
"event-place": "The Hague, Netherlands",
"container-title": "Digital Humanities Benelux Conference 2014"
}
Claims
-
Chordify's HarmTrace program computes chord candidates at each beat from spectral features; where the audio matches a chord well, that chord is chosen, and otherwise a model of Western tonal harmony selects the chord that best fits its rules.
"However, when this is not the case, the HarmTrace harmony model will select a chord based on how well it fits the rules of tonal harmony."
-
Chordify is a web-based music player that automatically transcribes chord labels from an arbitrary audio source, such as an uploaded file or a YouTube or SoundCloud link, to help people play songs on an instrument.
"Chordify is a web-based music player that strives to help people play any song on a (harmony based) musical instrument. Our web-service automatically transcribes the chord labels from an arbitrary audio source, and presents the chords to the user in an intuitive manner."
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