We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
Recent research has studied the relevance of various features for automatic genre classification, showing the particular importance of tempo in dance music classification. We co...
A central problem in music information retrieval is finding suitable representations which enable efficient and accurate computation of musical similarity and identity. Low leve...
Listening to music on personal, digital devices while mobile is an enjoyable, everyday activity. We explore a scheme for exploiting this practice to immerse listeners in navigatio...
Nigel Warren, Matt Jones, Steve Jones, David Bainb...
We describe the MusicMiner system for organizing large collections of music with databionic mining techniques. Visualization based on perceptually motivated audio features and Emer...