Pattern Discovery Techniques for Music Audio
Bibliographic Data
| ID | 7857572 |
|---|---|
| Authors | Roger B Dannenberg (0000-0003-1823-9856, Carnegie Mellon University), Ning Hu (0000-0001-9252-1070, Carnegie Mellon University, corresponding author) |
| Year | 2003 |
| Volume | 32 |
| Issue | 2 |
| Pages | 153-163 |
| Publication date | 2003-06-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of New Music Research (JOURNAL) |
| Journal identifiers | ISSN: 0929-8215 • E-ISSN: 1744-5027 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1076/jnmr.32.2.153.16738 |
| OpenAlex | W3021051756 |
| Language | EN |
| Citations received | 5 |
Human listeners are able to recognize structure in music through the perception of repetition and other relationships within a piece of music. This work aims to automate the task of music analysis. Music is "explained" in terms of embedded relationships, especially repetition of segments or phrases. The steps in this process are the transcription of audio into a representation with a similarity or distance metric, the search for similar segments, forming clusters of similar segments, and explaining music in terms of these clusters. Several transcription methods are considered: monophonic pitch estimation, chroma (spectral) representation, and polyphonic transcription followed by harmonic analysis. Also, several algorithms that search for similar segments are described. These techniques can be used to perform an analysis of musical structure, as illustrated by examples
Acoustics · Art · Audio signal · Linguistics · Musical · Perception · Polyphony · Speech coding · Speech recognition · Timbre · Computer Science · Music and Audio Processing · Music Technology and Sound Studies · Psychology · Speech and Audio Processing
Melodic Pattern Repetition and Efficient Encoding
Interdisciplinary Research Issues in Music Information Retrieval
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Classification of Melodic Motifs in Raga Music with Time-series Matching
An ubiquitous smart guitar system for collaborative musical practice
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,22 |
| Citation span | 2003 - 2024 (22) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |