Biblio

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Finney, N. (2009).  Autonomous Generation of Soundscapes using Unstructured Sound Databases. Abstract
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
Gómez, E., Bonada J., & Salamon J. (2012).  Automatic Transcription of Flamenco Singing from Monophonic and Polyphonic Music Recordings. III Interdisciplinary Conference on Flamenco Research (INFLA) and II International Workshop of Folk Music Analysis (FMA). Abstract
application/pdf iconINFLA-FMA-Transcription_web.pdf
Rodríguez, S., Gómez E., & Cuesta H. (2018).  Automatic Transcription of Flamenco Guitar Falsetas. International Workshop on Folk Music Analysis.
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
Gómez, E., Ong B., & Herrera P. (2006).  Automatic Tonal Analysis from Music Summaries for Version Identification. AES 121th Convention. Abstract
Bonada, J. (2000).  Automatic Technique in Frequency Domain for Near-Lossless Time-Scale Modification of Audio. International Computer Music Conference. 396-399. Abstract
Cano, P., & Koppenberger M. (2004).  Automatic sound annotation. Abstract
Batlle, E., Masip J., & Guaus E. (2002).  Automatic Song Identification in Noisy Broadcast Audio. (N. Younan, Ed.).Signal and Image Processing. Abstract
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
Sá Pinto, A. (2015).  Automatic Semantic Characterization of Drum Sounds. Abstract
Batlle, E., & Cano P. (2000).  Automatic Segmentation for Music Classification using Competitive Hidden Markov Models. Abstract
Molina, E. (2012).  Automatic scoring of singing voice based on melodic similarity measures. Abstract
application/pdf iconEmilio-Molina-Master-Thesis-2012.pdf
Van Balen, J. (2011).  Automatic Recognition of Samples in Musical Audio. Abstract
application/pdf iconVan-Balen-Jan-Master-thesis-2011.pdf
Ferraro, A., Bogdanov D., Yoon J., Kim K. S., & Serra X. (2018).  Automatic playlist continuation using a hybrid recommender system combining features from text and audio. Workshop on the RecSys Challenge 2018. Abstract
Cuesta, H., & Gómez E. (2017).  Automatic Pitch Estimation in Choir Singing Recordings using Deep Learning Strategies.
Cherla, S. (2011).  Automatic Phrase Continuation from Guitar and Bass-guitar Melodies. Abstract
Cherla, S., Purwins H., & Marchini M. (2013).  Automatic phrase continuation from guitar and bass guitar melodies. Computer Music Journal. 37, 68–81.
Ramirez, R., Maestre E., & Serra X. (2010).  Automatic performer identification in commercial monophonic Jazz performances. Pattern Recognition Letters. 31(12), 1514-1523.
Ramirez, R., Maestre E., Pérez A., & Serra X. (2011).  Automatic Performer Identification in Celtic Violin Audio Recordings. Journal of New Music Research. 40(2), 165-174. Abstract
Slizovskaia, O., Gómez E., & Haro G. G. (2016).  Automatic musical instrument recognition in audiovisual recordings by combining image and audio classification strategies. 13th Sound and Music Computing Conference (SMC 2016). Abstract
application/pdf iconpostprint version
Fuhrmann, F. (2012).  Automatic musical instrument recognition from polyphonic music audio signals. Abstract
application/pdf iconThesis document
Gómez, E., & Bonada J. (2008).  Automatic Melodic Transcription of Flamenco Singing. Fourth Conference on Interdisciplinary Musicology (CIM08). Abstract
Bosch, J. (2013).  Automatic Melodic and Structural Analysis of Music Material for Enriched Concert Related Experiences. ACM Multimedia. 1067--1070.
Demirel, E., Bozkurt B., & Serra X. (2018).  Automatic makam recognition using chroma features. International Workshop on Folk Music Analysis. Abstract
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