Filters: Author is Gouyon, F. [Clear All Filters]
Assigning a Confidence Threshold on Automatic Beat Annotation in Large Datasets. 13th International Society for Music Information Retrieval Conference. 157-162.(2012).
A Method for Obtaining Semantic Facets of Music Tags. 1st Workshop On Music Recommendation And Discovery (WOMRAD), ACM RecSys, 2010, Barcelona, Spain.(2010).
Inferring Semantic Facets of a Music Folksonomy with Wikipedia. Journal of New Music Research. 42(4), 346-363.(2013).
Percussion Classification in polyphonic audio recordings using localized sound models. 5th International Conference on Music Information Retrieval (ISMIR'04).(2004).
Short-term feature space and Music Genre Classiﬁcation. Journal of New Music Research. 40(2), 127-137.(2011).
Additional Evidence That Common Low-level Features Of Individual Audio Frames Are Not Representative Of Music Genre. 7th Sound and Music Computing Conference, 2010, Barcelona, Spain.(2010).
Sound Object Classification for Symbolic Audio Mosaicing: A Proof-of-Concept. ( , Ed.).Sound and Music Computing Conference. 297-302.(2009).
On the automatic identification of difficult examples for beat tracking: towards building new evaluation datasets. The 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 89-92.(2012).
Automatic classification of drum sounds a comparison of feature selection methods and classification techniques. International Conference on Music and Artificial Intelligence (ICMAI).(2002).
Percussion-related Semantic Descriptors of Music Audio Files. AES 25th International Conference.(2004).
Mucosa a music content semantic annotator. 6th International Conference on Music Information Retrieval (2005).(2005).
Automatic Labeling of Unpitched Percussion Sounds. AES 114th Convention.(2003).
MIRrors: Music Information Research reflects on its future. Journal of Intelligent Information Systems. 41(3), 339-343.(2013).
Acoustic Cues to Beat Induction. A Machine Learning Perspective. Music Percepcion. UCPress. 24, 177-188.(2006).
Acoustic Cues to Beat Induction A Machine Learning Perspective. 10th Rhythm Perception and Production Workshop. 24(2), 177-188.(2005).