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ICA
2004
Springer
14 years 1 months ago
Music Transcription with ISA and HMM
We propose a new generative model for polyphonic music based on nonlinear Independent Subspace Analysis (ISA) and factorial Hidden Markov Models (HMM). ISA represents chord spectra...
Emmanuel Vincent, Xavier Rodet
IICAI
2003
13 years 9 months ago
TANSEN: A System for Automatic Raga Identification
Computational Musicology is a new and emerging field which draws heavily from Computer Science, particularly Artificial Intelligence. Western Music has been under the gaze of thi...
Gaurav Pandey, Chaitanya Mishra, Paul Ipe
ICASSP
2009
IEEE
14 years 2 months ago
Combining mixture weight pruning and quantization for small-footprint speech recognition
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
David Huggins-Daines, Alexander I. Rudnicky
ICASSP
2009
IEEE
14 years 2 months ago
Experimenting with a global decision tree for state clustering in automatic speech recognition systems
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
Jasha Droppo, Alex Acero
CHI
2008
ACM
14 years 8 months ago
MySong: automatic accompaniment generation for vocal melodies
We introduce MySong, a system that automatically chooses chords to accompany a vocal melody. A user with no musical experience can create a song with instrumental accompaniment ju...
Ian Simon, Dan Morris, Sumit Basu