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ORCIDSAPA@INTERSPEECH 2010: Makuhari, Japan
- ISCA Workshop on Statistical And Perceptual Audition, SAPA 2010, Makuhari, Japan, September 25, 2010. ISCA 2010
Features and Representation
- Martin Heckmann:
Supervised vs. unsupervised learning of spectro temporal speech features. 1-6 - Jun Wu, Yu Kitano, Stanislaw Andrzej Raczynski, Shigeki Miyabe, Takuya Nishimoto, Nobutaka Ono, Shigeki Sagayama:
Musical instrument identification based on harmonic temporal timbre features. 7-12 - Emmanouil Benetos, Simon Dixon:
Multiple-F0 estimation of piano sounds exploiting spectral structure and temporal evolution. 13-18
Source Separation
- Ning Ma, Jon Barker, Heidi Christensen, Phil D. Green:
Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding. 19-24 - Masahito Togami, Koichi Hori:
Online speech source separation in meeting scene with time-varying weights of noise covariance matrices. 25-30 - Yushen Han, Christopher Raphael:
Informed source separation of orchestra and soloist using masking and unmasking. 31-36
Statistics and Learning
- Piotr Holonowicz, Perfecto Herrera:
Detection of polyphonic music note onsets by application of the Bayesian theory of surprise. 37-42 - Hirokazu Kameoka, Jonathan Le Roux, Yasunori Ohishi:
A statistical model of speech F0 contours. 43-48 - Janet M. Baker, Alexander M. Chan, Ksenija Marinkovic, Eric Halgren, Sydney S. Cash:
Machine learning for learning how the brain recognizes speech and language. 49-54
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