Biblio

Export 288 results:
Sort by: [ Author (Desc)] Title Type Year
Filters: Author is Xavier Serra  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
K
Koduri, G. K., Serrà J., & Serra X. (2012).  Characterization of Intonation in Karṇāṭaka Music by Parametrizing Context-based Svara Distributions. 2nd CompMusic Workshop. Abstract
Koduri, G. K., Serrà J., & Serra X. (2012).  Characterization of Intonation in Carnatic Music by Parametrizing Pitch Histograms. International Society for Music Information Retrieval Conference (ISMIR 2012). 199-204. Abstract
Koduri, G. K. (2016).  Towards a multimodal knowledge base for Indian art music: A case study with melodic intonation. Department of Information and Communication Technologies. 242. Abstract
Kim, J., Won M., Serra X., & Liem C. C. S. (2018).  Transfer Learning of Artist Group Factors to Musical Genre Classification. WWW ’18 The Web Conference 2018. Abstract
Kersten, S. (2015).  Statistical modelling and resynthesis of environmental texture sounds. Department of Information and Communication Technologies. 171. Abstract
Kenmochi, H., Serra X., & Bonada J. (2006).  Singing Voice Synthesizing Apparatus, Singing Voice Synthesizing Method, and Program for Realizing Singing Voice Synthesizing Method. Abstract
application/pdf iconUS7016841.pdf
Kawashima, T., Yoshioka Y., Cano P., Loscos A., Serra X., Schiementz M., et al. (2004).  Voice converter for assimilation by frame synthesis with temporal alignment . Abstract
application/pdf iconUS6836761.pdf
Karakurt, A., Şentürk S., & Serra X. (2016).  MORTY: A Toolbox for Mode Recognition and Tonic Identification. 3rd International Digital Libraries for Musicology Workshop (DLfM 2016). 9-16. Abstract
J
Jordà, S. (2005).  Digital Lutherie Crafting musical computers for new musics' performance and improvisation. Department of Information and Communication Technologies. Abstract
Janer, J. (2008).  Singing-driven Interfaces for Sound Synthesizers. Department of Information and Communication Technologies. Abstract
Janer, J., Finney N., Roma G., Kersten S., & Serra X. (2009).  Supporting Soundscape Design in Virtual Environments with Content-based Audio Retrieval. Journal of Virtual Worlds Research. 2(3), 4-6. Abstract
Janer, J., Haro G. G., Roma G., Fujishima T., & Kojima N. (2009).  Sound Object Classification for Symbolic Audio Mosaicing: A Proof-of-Concept. (Gouyon, F., Barbosa, A., Xavier Serra, Ed.).Sound and Music Computing Conference. 297-302. Abstract
I
Itou, K., Caro Repetto R., & Serra X. (2016).  Melody Transcription Framework using Score Information for Noh Singing. International Conference on Creative Content Technologies (CONTENT 2016). Abstract
H
Herrera, P., Serra X., & Peeters G. (1999).  Audio Descriptors and Descriptor Schemes in the Context of MPEG-7. International Computer Music Conference. Abstract
Herrera, P., Serrà J., Laurier C., Guaus E., Gómez E., & Serra X. (2009).  The Discipline formerly known as MIR. International Society for Music Information Retrieval (ISMIR) Conference, special session on The Future of MIR (fMIR). Abstract
Herrera, P., Amatriain X., Batlle E., & Serra X. (2000).  Towards Instrument Segmentation for Music Content Description a Critical Review of Instrument Classification Techniques. International Conference on Music Information Retrieval. Abstract
Herrera, P. (2018).  MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR. Information and Communication Technologies. 241+xiii. Abstract
Herrera, P., Serra X., & Peeters G. (1999).  A proposal for the description of audio in the context of MPEG-7. European Workshop on Content-Based Multimedia Indexing. Abstract
Herrera, P., Bello J. P., Widmer G., Sandler M., Celma Ò., Vignoli F., et al. (2005).  SIMAC Semantic interaction with music audio contents. 2nd European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies. Abstract
Hazan, A., Marxer R., Brossier P., Purwins H., Herrera P., & Serra X. (2009).  What/when causal expectation modelling applied to audio signals. Connection Science. 21(2-3), 119 – 143. Abstract
Hazan, A. (2010).  Musical Expectation Modelling from Audio: a causal mid-level approach to predictive representation and learning of spectro-temporal events.. Departament de Tecnologies de la Informació i les Comunicacions. 119. Abstract
Haro, G. G. (2013).  Statistical Distribution of Common Audio Features. Department of Information and Communication Technologies. 203. Abstract
G
Gupta, S., Srinivasamurthy A., Kumar M., Murthy H., & Serra X. (2015).  Discovery of Syllabic Percussion Patterns in Tabla Solo Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference. 385-391. Abstract
Gulati, S., Serrà J., Ishwar V., & Serra X. (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
application/pdf iconPoster
Gulati, S., Bellur A., Salamon J., Ranjani H. G., Ishwar V., Murthy H., et al. (2014).  Automatic Tonic Identification in Indian Art Music: Approaches and Evaluation. Journal of New Music Research. 43(1), 53-71. Abstract
intranet