Reference number : GC-2017-Q4-01809, amendment number : , agreement type : G, recipient legal name : Tzanetakis, George (University of Victoria), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Apollo Music Store is a Montreal based company that specializes on licensing and distributing digitally music._x000D_
They represented hundreds of artists and more than 75% of them are Canadian. The goal of this project is to_x000D_
improve the user experience of Apollo customers who are trying to find specific kinds of music for advertising,_x000D_
games and other applications. Two main objectives will be pursued. The first is to explore how to_x000D_
automatically associate and adjust stock video with music tracks based on audio and visual feature extraction_x000D_
and mapping. The second objective is to use deep learning techniques to build software that automatically tags_x000D_
the music with descriptive keywords. Deep learning has been shown to be very effective in a variety of_x000D_
machine learning tasks. Data augmentation and semi-supervised learning are techniques used to train deep_x000D_
neural networks when the amount of labeled data is limited. Apollo Music will provide access to their digital_x000D_
catalog as well as existing meta-data their curators have provided about the tracks. The research group of_x000D_
Dr.Tzanetakis has a strong international presence in Music Information Retrieval and Machine Learning._x000D_
which are research areas that will contribute ideas, concepts, and algorithms to the project. Two PhD students_x000D_
with complementary experience in computer vision/deep learning/audio signal processing and gesture_x000D_
recognition/human-computer interaction will be funded through the project and work with the designers and_x000D_
engineers at Apollo Music Store., program purpose french : Apollo Music Store is a Montreal based company that specializes on licensing and distributing digitally music._x000D_
They represented hundreds of artists and more than 75% of them are Canadian. The goal of this project is to_x000D_
improve the user experience of Apollo customers who are trying to find specific kinds of music for advertising,_x000D_
games and other applications. Two main objectives will be pursued. The first is to explore how to_x000D_
automatically associate and adjust stock video with music tracks based on audio and visual feature extraction_x000D_
and mapping. The second objective is to use deep learning techniques to build software that automatically tags_x000D_
the music with descriptive keywords. Deep learning has been shown to be very effective in a variety of_x000D_
machine learning tasks. Data augmentation and semi-supervised learning are techniques used to train deep_x000D_
neural networks when the amount of labeled data is limited. Apollo Music will provide access to their digital_x000D_
catalog as well as existing meta-data their curators have provided about the tracks. The research group of_x000D_
Dr.Tzanetakis has a strong international presence in Music Information Retrieval and Machine Learning._x000D_
which are research areas that will contribute ideas, concepts, and algorithms to the project. Two PhD students_x000D_
with complementary experience in computer vision/deep learning/audio signal processing and gesture_x000D_
recognition/human-computer interaction will be funded through the project and work with the designers and_x000D_
engineers at Apollo Music Store., agreement title english : Music-visual feature mapping and deep tagging, agreement title french : Music-visual feature mapping and deep tagging, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada