Biblio
] Filters: Author is Xavier Serra [Clear All Filters]
(2014). Landmark Detection in Hindustani Music Melodies.
International Computer Music Conference/Sound and Music Computing Conference. 1062-1068. Abstract
(2015). Improving Melodic Similarity in Indian Art Music Using culture-Specific Melodic Characteristics.
International Society for Music Information Retrieval Conference. 680-686. 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). 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
(2016). Time-Delayed Melody Surfaces for Rāga Recognition.
17th International Society for Music Information Retrieval Conference (ISMIR 2016). 751-757. Abstract
(2016). 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). Computational Approaches for Melodic Description in Indian Art Music Corpora.
Department of Information and Communication Technologies. 305. Abstract
(2014). Automatic Tonic Identification in Indian Art Music: Approaches and Evaluation.
Journal of New Music Research. 43(1), 53-71. Abstract
(2015). 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
(2009). Audio content processing for automatic music genre classification: descriptors, databases, and classifiers.
Department of Information and Communication Technologies. Abstract
(2005). Acoustic Cues to Beat Induction A Machine Learning Perspective.
10th Rhythm Perception and Production Workshop. 24(2), 177-188. Abstract
(2005). A computational approach to rhythm description --- Audio features for the computation of rhythm periodicity functions and their use in tempo induction and music content processing.
Department of Information and Communication Technologies. Abstract
(2006). Acoustic Cues to Beat Induction. A Machine Learning Perspective.
Music Percepcion. UCPress. 24, 177-188. Abstract
(2008). Content Processing of Music Audio Signals.
(, Ed.).Sound to Sense, Sense to Sound: A State of the Art in Sound and Music Computing. 83-160. Abstract
(2017). Score-Informed Syllable Segmentation for Jingju a Cappella Singing Voice with Mel-Frequency Intensity Profiles.
International Workshop on Folk Music Analysis. 107-113. Abstract
(2017). Audio to Score Matching by Combining Phonetic and Duration Information.
The 18th International Society for Music Information Retrieval Conference. Abstract
(2017). Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training.
The 5th China Conference on Sound and Music Technology - Chinese Traditional Music Technology Session. Abstract
(2018). Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions.
Interspeech 2018. Abstract
(2018). Automatic Assessment of Singing Voice Pronunciation: A Case Study with Jingju Music.
Department of Information and Communications Technologies. xxxii + 235. Abstract
(2017). Creating an A Cappella Singing Audio Dataset for Automatic Jingju Singing Evaluation Research.
4th International Digital Libraries for Musicology workshop (DLfM 2017). Abstract
(2016). Pitch Contour Segmentation for Computer-aided Jingju Singing Training.
13th Sound and Music Computing Conference (SMC 2016). 172-178. Abstract
(2006). Tonal Description of Music Audio Signals.
Department of Information and Communication Technologies. Abstract
(2016). Music Information Retrieval:
Overview, Recent Developments and Future Challenges.
17th International Society for Music Information Retrieval (ISMIR) Conference. 11-12. Abstract
(2016). Data-driven Exploration of Melodic Structures in Hindustani Music.
17th International Society for Music Information Retrieval Conference (ISMIR 2016). 605-611. Abstract
(2009). Detecting Solo Phrases in Music using Spectral and Pitch-related Descriptors.
Journal of New Music Research. 38(4), 343 - 356. Abstract
