Biblio
Filters: Author is Serrà, J. [Clear All Filters]
Audio cover song identification and similarity: background, approaches, evaluation, and beyond.
( , Ed.).Advances in Music Information Retrieval. 274, 307-332. Abstract
(2010).
Assessing the tuning of sung Indian classical music.
Int. Soc. for Music Information Retrieval Conf. (ISMIR). 263-268. Abstract
(2011).
Audio clip classification using social tags and the effect of tag expansion.
AES 53rd International Conference on Semantic Audio. 157-165. Abstract
(2014).
Audio cover song identification based on tonal sequence alignment .
IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP). 61-64. Abstract
(2008).
Automatic Identification of Samples in Hip Hop Music.
9th International Symposium on Computer Music Modeling and Retrieval (CMMR).
(2012).
Characterization of Intonation in Carnatic Music by Parametrizing Pitch Histograms.
International Society for Music Information Retrieval Conference (ISMIR 2012). 199-204. Abstract
(2012).
(2012).
Computational approaches for the understanding of melody in Carnatic music.
International Society for Music Information Retrieval Conference (ISMIR). 157-162. Abstract
(2011).
Cover song networks: analysis and accuracy increase.
Net-Works 2010. Abstract
(2010).
Discovering Rāga Motifs by Characterizing Communities in Networks of Melodic Patterns.
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016) . 286-290. Abstract
(2016).
An evaluation of methodologies for melodic similarity in audio recordings of Indian art music.
IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP). 678-682. Abstract
(2015).
Extracting Semantic Information from an Online Carnatic Music Forum.
13th International Society for Music Information Retrieval Conference (ISMIR 2012). 355-360. Abstract
(2012).
Folksonomy-based tag recommendation for online audio clip sharing.
13th International Society for Music Information Retrieval Conference (ISMIR 2012). 73-78. Abstract
(2012).
From Low-level to High-level: Comparative Study of Music Similarity Measures.
IEEE International Symposium on Multimedia. Workshop on Advances in Music Information Research (AdMIRe). Abstract
(2009).
Improving Melodic Similarity in Indian Art Music Using culture-Specific Melodic Characteristics.
International Society for Music Information Retrieval Conference. 680-686. Abstract
(2015).
Landmark Detection in Hindustani Music Melodies.
International Computer Music Conference/Sound and Music Computing Conference. 1062-1068. Abstract
(2014).
Melodic Pattern Extraction in Large Collections of Music Recordings Using Time Series Mining Techniques.
International Society for Music Information Retrieval Conference (Late breaking demo). Abstract
(2014).
Melody, Bass Line, and Harmony Representations for Music Version Identification.
21st International World Wide Web Conference (WWW 2012): 4th International Workshop on Advances in Music Information Research (AdMIRe 2012). Abstract
(2012).
A Method for Extracting Semantic Information from on-line Art Music Discussion Forums.
2nd CompMusic Workshop. 55-60. Abstract
(2012).
Mining Melodic Patterns in Large Audio Collections of Indian Art Music.
International Conference on Signal Image Technology & Internet Based Systems - Multimedia Information Retrieval and Applications. 264-271. Abstract
(2014).
Model-based cover song detection via threshold autoregressive forecasts.
ACM Multimedia, Int. Workshop on Machine Learning and Music (MML). 13-16. Abstract
(2010).
Music Mood Annotator Design and Integration.
7th International Workshop on Content-Based Multimedia Indexing. Abstract
(2009).
Music Mood Representations from Social Tags.
International Society for Music Information Retrieval (ISMIR) Conference. 381-386. Abstract
(2009).
Nonlinear audio recurrence analysis with application to genre classification.
IEEE International Conference on Acoustics, Speech and Signal processing (ICASSP). 169-172. Abstract
(2011).
Overcoming catastrophic forgetting with hard attention to the task.
The 35th International Conference on Machine Learning (ICML 2018) . Abstract
(2018).