Signal Processing Methods for Music Transcription
Signal Processing Methods for Music Transcription
Automatic transcription of melody, bass line, and chords in polyphonic music
Computer Music Journal
Automatic edition of songs for guitar hero/Frets on fire
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Automatic genre classification of Latin American music using characteristic rhythmic patterns
Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound
Multiple fundamental frequency estimation by modeling spectral peaks and non-peak regions
IEEE Transactions on Audio, Speech, and Language Processing
ICMLA '10 Proceedings of the 2010 Ninth International Conference on Machine Learning and Applications
CMMR'10 Proceedings of the 7th international conference on Exploring music contents
Towards user-adaptive structuring and organization of music collections
AMR'08 Proceedings of the 6th international conference on Adaptive Multimedia Retrieval: identifying, Summarizing, and Recommending Image and Music
CMMR'10 Proceedings of the 7th international conference on Exploring music contents
Validation of music metadata via game with a purpose
Proceedings of the 8th International Conference on Semantic Systems
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At the Fraunhofer Institute for Digital Media Technology (IDMT) in Ilmenau, Germany, two current research projects are directed towards core problems of Music Information Retrieval. The Songs2See project is supported by the Thuringian Ministry of Economy, Employment and Technology through granting funds of the European Fund for Regional Development. The target outcome of this project is a web-based application that assists music students with their instrumental exercises. The unique advantage over existing e-learning solutions is the opportunity to create personalized exercise content using the favorite songs of the music student. GlobalMusic2one is a research project supported by the German Ministry of Education and Research. It is set out to develop a new generation of hybrid music search and recommendation engines. The target outcomes are novel adaptive methods of Music Information Retrieval in combination with Web 2.0 technologies for better quality in the automated recommendation and online marketing of world music collections.