Biblio

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Gouyon, F., & Herrera P. (2001).  Exploration of techniques for automatic labeling of audio drum tracks instruments. Abstract
Gouyon, F., Herrera P., Gómez E., Cano P., Bonada J., Loscos A., et al. (2008).  Content Processing of Music Audio Signals. (Polotti, P., Rocchesso, D., Ed.).Sound to Sense, Sense to Sound: A State of the Art in Sound and Music Computing. 83-160. Abstract
Gouyon, F., Herrera P., Martins L. G., & Müller M. (2012).  Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012.
Gouyon, F., & Herrera P. (2003).  Determination of the Meter of musical audio signals Seeking recurrences in beat segment descriptors. Abstract
Gómez-Marín, D., Jordà S., & Herrera P. (2015).  Strictly Rhythm: Exploring the effects of identical regions and meter induction in rhythmic similarity perception. 11th International Symposium on Computer Music Multidisciplinary Research, CMMR 2015. Abstract
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Gómez-Marín, D., Jordà S., & Herrera P. (2016).  Strictly Rhythm: Exploring the Effects of Identical Regions and Meter Induction in Rhythmic Similarity Perception. (Kronland-Martinet R., Aramaki M., Ystad S., Ed.).Music, Mind, and Embodiment. CMMR 2015. 449-463.
Gómez-Marín, D., Jordà S., & Herrera P. (2017).  Drum rhythm spaces: from global models to style-specifc maps. 13th International Symposium on Computer Music Multidisciplinary Research (CMMR). 80-91.
Gómez-Marín, D., Jordà S., & Herrera P. (2016).  Rhythm Spaces. 4th International Workshop on Musical Metacreation (MUME 2016). Abstract
Gómez-Marín, D., Jordà S., & Herrera P. (2015).  PAD and SAD: Two awareness-weighted rhythmic similarity distances. 16th International Society for Music Information Retrieval (ISMIR) Conference. Abstract
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Gómez-Marín, D., Jordà S., & Herrera P. (2015).  Evaluating rhythm similarity distances: The effect of inducing the beat. Rhythm production and perception workshop. 57.
Gómez Cañón, J. S., Herrera P., Gómez E., & Cano E. (2019).  The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement. Workshop-Symposium on Research Methods in Music and Emotion. Abstract
Gómez, E., Ong B., & Herrera P. (2006).  Automatic Tonal Analysis from Music Summaries for Version Identification. AES 121th Convention. Abstract
Gómez, E., & Herrera P. (2008).  Comparative analysis of music recordings from western and non-western traditions by automatic tonal feature extraction and data mining. 4th Conference on Interdisciplinary Musicology (CIM08).
Gómez, E., & Herrera P. (2008).  Comparative Analysis of Music Recordings from Western and Non-Western traditions by Automatic Tonal Feature Extraction. Empirical Musicology Review. 3(3), 140-156. Abstract
Gómez, E., Peterschmitt G., Amatriain X., & Herrera P. (2003).  Content-based melodic transformations of audio for a music processing application. Abstract
Gómez, E., Haro M., & Herrera P. (2009).  Music and geography: content description of musical audio from different parts of the world. 10th International Society for Music Information Retrieval Conference. Abstract
Gómez, E., Gouyon F., Herrera P., & Amatriain X. (2003).  Using and enhancing the current MPEG-7 standard for a music content processing tool. Abstract
Gómez, E., & Herrera P. (2006).  Evaluation and applications of tonal profiles for automatic music tonality description. Abstract
Gómez, E., & Herrera P. (2004).  Automatic Extraction of Tonal Metadata from Polyphonic Audio Recordings. AES. Abstract
Gómez, E., Gouyon F., Herrera P., & Amatriain X. (2003).  MPEG-7 for Content-based Music Processing. Abstract
Gómez, E., & Herrera P. (2006).  The song remains the same identifying versions of the same piece using tonal descriptors. Abstract
Gómez, E., & Herrera P. (2004).  Estimating The Tonality Of Polyphonic Audio Files Cognitive Versus Machine Learning Modelling Strategies. 5th International Society for Music Information Retrieval (ISMIR) Conference. 92-95. Abstract
application/pdf iconGómezHerrera-ISMIR-2004-page-92.pdf
Gómez, E., Herrera P., & Gómez-Martín F. (2013).  Computational Ethnomusicology: perspectives and challenges. Journal of New Music Research. 42(2), 111-112.
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Fuhrmann, F., Herrera P., & Serra X. (2009).  Detecting Solo Phrases in Music using Spectral and Pitch-related Descriptors. Journal of New Music Research. 38(4), 343 - 356. Abstract
Fuhrmann, F., & Herrera P. (2011).  Quantifying the relevance of locally extracted information for musical instrument recognition from entire pieces of music. International Society for Music Information Retrieval Conference (ISMIR). Abstract
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