Biblio

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Kuzma, L. (2008).  An Interface for Sequencing with Concatenative Sound Synthesis. Abstract
Kroher, N., & Gómez E. (2014).  Improving accompanied Flamenco singing voice transcription by combining vocal detection and predominant melody extraction.. International Computer Music Conference/Sound and Music Computing Conference. Abstract
application/pdf iconCameraReady_VoicingDetection.pdf
Kroher, N., Gómez E., Guastavino C., Gómez-Martín F., & Bonada J. (2014).  Computational models for perceived melodic similarity in a cappella flamenco cantes. 15th International Society for Music Information Retrieval Conference.
application/pdf iconMelodicSimilarityCameraReady.pdf
Kroher, N., Gómez E., Sordo M., Gómez-Martín F., Díaz-Báñez J. M., Mora J., et al. (2014).  Computational ethnomusicology: a study of flamenco and Arab-Andalusian vocal music. 4th International Workshop On Folk Music Analysis. Abstract
application/pdf iconFMA2014_submission_kroher_et_al.pdf
Kroher, N. (2013).  Automatic Characterization of Flamenco Singing by Analyzing Audio Recordings. Abstract
application/pdf iconNadine-Kroher-Master-Thesis-2013.pdf
Kroher, N., & Gómez E. (2014).  Automatic Singer Identification For Improvisational Styles Based On Vibrato, Timbre And Statistical Performance Descriptors. International Computer Music Conference/Sound and Music Computing Conference.
application/pdf iconCameraReady_SingerID.pdf
Kroher, N., Gómez E., & Ramirez R. (2013).  Caracterización automática del cante flamenco a base de análisis de grabaciones.. Investigación y Flamenco (INFLA).
Kroher, N., & Gómez E. (2016).  Automatic Transcription of Flamenco Singing From Polyphonic Music Recordings. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25(5), 901-913. Abstract
application/pdf iconAutomaticTranscriptionAuthorCopy.pdf
Kroher, N., Pikrakis A., Moreno J., & Díaz-Báñez J. M. (2015).  Discovery of Repeated Vocal Patterns in Polyphonic Audio: a Case Study on Flamenco Music. European Signal Processing Conference (EUSIPCO).
Kritsis, K. (2016).  Capturing Violin Performance Gestures with a Single Camera System. Abstract
Kosta, K., Marchini M., & Purwins P. (2012).  Unsupervised Chord-Sequence Generation from an Ausio Example. International Society for Music Information Retrieval Conference (ISMIR 2012). Abstract
application/pdf iconKosta_etal_ISMIR2012_Harmony.pdf
Kosta, K. (2011).  Unsupervised Generation of Chord Sequences from a Sound Example. Abstract
application/pdf iconKosta-Katerina-Master-thesis-2011.pdf
Koelsch, S., Skouras S., Fritz T., Herrera P., Bonhage C., Küssner M. B., et al. (2013).  The roles of superficial amygdala and auditory cortex in music-evoked fear and joy. NeuroImage. 81(1), 49-60.
Koduri, G. K., Miron M., Serrà J., & Serra X. (2011).  Computational approaches for the understanding of melody in Carnatic music. International Society for Music Information Retrieval Conference (ISMIR). 157-162. Abstract
Koduri, G. K., Ishwar V., Serrà J., & Serra X. (2014).  Intonation analysis of rāgas in Carnatic music. Journal of New Music Research. 43(1), 72-93. Abstract
Koduri, G. K., & Serra X. (2013).  A knowledge-based approach to computational analysis of melody in Indian art music. International Workshop on Semantic Music and Media, International Semantic Web Conference. 1-10. Abstract
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., Gulati S., Rao P., & Serra X. (2012).  Rāga Recognition based on Pitch Distribution Methods. Journal of New Music Research. 41, 337-350. 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. (2014).  Culture-aware approaches to modeling and description of intonation using multimodal data. International Conference on Knowledge Engineering and Knowledge Management (EKAW). Abstract
application/pdf icondoctoral-consortium.pdf
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
Knees, P., Faraldo Á., Herrera P., Vogl R., Böck S., Hörschläger F., et al. (2015).  Two Data Sets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections. 16th International Society for Music Information Retrieval (ISMIR) Conference. 364-370. Abstract
application/pdf icon246_Paper.pdf
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., Maestre E., & Ramirez R. (2007).  Modeling and Synthesis of Expressive Performance. Digital Music Research Network Workshop. Abstract
Kersten, S. (2015).  Statistical modelling and resynthesis of environmental texture sounds. Department of Information and Communication Technologies. 171. Abstract
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