Biblio

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Gómez, E., Peterschmitt G., Amatriain X., & Herrera P. (2003).  Content-based melodic transformations of audio for a music processing application. Abstract
Gómez, E. (2000).  Tatouage de Signaux de Musique (Méthodes de synchronisation).
Gómez, E., Gouyon F., Herrera P., & Amatriain X. (2003).  MPEG-7 for Content-based Music Processing. Abstract
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 Rubio, I. (2011).  fMRI Sonification & Brain Activity Prediction. 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
application/pdf iconpad and sad.pdf
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. (2016).  Rhythm Spaces. 4th International Workshop on Musical Metacreation (MUME 2016). Abstract
Gómez-Marín, D. (2014).  Percussive spaces: Definition and use of percussive spaces for analysis and interaction. Abstract
application/pdf iconDaniel-Gomez-Master-Thesis-2014.pdf
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
application/pdf iconFull text
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. (2015).  Evaluating rhythm similarity distances: The effect of inducing the beat. Rhythm production and perception workshop. 57.
Gómez-Marín, D. (2018).  Similarity and Style in Electronic Dance Music Drum Rhythms. Department of Information and Communications Technologies. Abstract
Gómez-Martín, F., Díaz-Báñez J. M., Gómez E., & Mora J. (2014).   Flamenco music and its computational study. BRIDGES: Mathematical Connections in Art, Music, and Science.
application/pdf iconCOFLA-Bridges.pdf
Gong, R., & Serra X. (2018).  Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions. Interspeech 2018. Abstract
Gong, R., Cuvillier P., Obin N., & Cont A. (2015).  Real-Time Audio-to-Score Alignment of Singing Voice Based on Melody and Lyric Information. Interspeech 2015. Abstract
application/pdf iconInterspeech_RG_2015.pdf
Gong, R., & Serra X. (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
Gong, R., Pons J., & Serra X. (2017).  Audio to Score Matching by Combining Phonetic and Duration Information. The 18th International Society for Music Information Retrieval Conference. Abstract
Gong, R. (2018).  Automatic Assessment of Singing Voice Pronunciation: A Case Study with Jingju Music. Department of Information and Communications Technologies. xxxii + 235. Abstract
Gong, R., Caro Repetto R., & Serra X. (2017).  Creating an A Cappella Singing Audio Dataset for Automatic Jingju Singing Evaluation Research. 4th International Digital Libraries for Musicology workshop (DLfM 2017). Abstract
Gong, R., Obin N., Dzhambazov G., & Serra X. (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
Gong, R., Yang Y., & Serra X. (2016).  Pitch Contour Segmentation for Computer-aided Jingju Singing Training. 13th Sound and Music Computing Conference (SMC 2016). 172-178. Abstract
Gorlow, S., & Janer J. (2015).  Evaluation of the Convolutional NMF for Supervised Polyphonic Music Transcription and Note Isolation. LVA/ICA 2015.
application/pdf iconPaper - author version
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., Pachet F., & Delerue O. (2000).  On the use of zero-crossing rate for an application of classification of percussive sounds. Abstract
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