Evaluation and combination of pitch estimation methods for melody extraction in symphonic classical music
Bibliographic Data
| ID | 14872259 |
|---|---|
| Authors | Juan J Bosch (0000-0003-4221-3517, Universitat Pompeu Fabra, corresponding author), Ricard Marxer (0000-0001-5099-5059, Universitat Pompeu Fabra), Emília Gómez (0000-0003-4983-3989, Universitat Pompeu Fabra) |
| Year | 2016 |
| Volume | 45 |
| Issue | 2 |
| Pages | 101-117 |
| Publication date | 2016-04-02 |
| 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 | 10.1080/09298215.2016.1182191 |
| OpenAlex | W2399349471 |
| Language | EN |
| Citations received | 1 |
| References cited | 25 |
The extraction of pitch information is arguably one of the most important tasks in automatic music description systems. However, previous research and evaluation datasets dealing with pitch estimation focused on relatively limited kinds of musical data. This work aims to broaden this scope by addressing symphonic western classical music recordings, focusing on pitch estimation for melody extraction. This material is characterized by a high number of overlapping sources, and by the fact that the melody may be played by different instrumental sections, often alternating within an excerpt. We evaluate the performance of eleven state-of-the-art pitch salience functions, multipitch estimation and melody extraction algorithms when determining the sequence of pitches corresponding to the main melody in a varied set of pieces. An important contribution of the present study is the proposed evaluation framework, including the annotation methodology, generated dataset and evaluation metrics. The results show that the assumptions made by certain methods hold better than others when dealing with this type of music signal, leading to a better performance. Additionally, we propose a simple method for combining the output of several algorithms, with promising results
Annotation · Art · Classical music · Estimation · Melody · Music Information Retrieval · Musical · Speech recognition · Symphony · Computer Science · Music and Audio Processing · Music Technology and Sound Studies · Speech and Audio Processing · Artificial Intelligence
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |