DOI: 10.17918/etd-3303
|View full text |Cite
|
Sign up to set email alerts
|

Combined audio and video analysis for guitar chord identification

Abstract: This paper presents a multi-modal approach to automatically identifying guitar chords using audio and video of the performer. Chord identification is typically performed by analyzing the audio, using a chroma based feature to extract pitch class information, then identifying the chord with the appropriate label. Even if this method proves perfectly accurate, stringed instruments add extra ambiguity as a single chord or melody may be played in different positions on the fretboard. Preserving this information is… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 5 publications
0
1
0
Order By: Relevance
“…• music segmentation, in which audio and video, lyrics or note level can be exploited to identify the music piece structure [56]- [58]; • spatial transcription, that is the inference, starting from audio and video, of the note level of songs for fretted instruments, so that the resulting score includes the annotation of fingering [59], [60]; • onset detection through audio and performer video [61] or rhythmic structure knowledge;…”
Section: Time-dependent Representationmentioning
confidence: 99%
“…• music segmentation, in which audio and video, lyrics or note level can be exploited to identify the music piece structure [56]- [58]; • spatial transcription, that is the inference, starting from audio and video, of the note level of songs for fretted instruments, so that the resulting score includes the annotation of fingering [59], [60]; • onset detection through audio and performer video [61] or rhythmic structure knowledge;…”
Section: Time-dependent Representationmentioning
confidence: 99%