Abstract is missing.
- Supervised vs. unsupervised learning of spectro temporal speech featuresMartin Heckmann. 1-6 [doi]
- Musical instrument identification based on harmonic temporal timbre featuresJun Wu, Yu Kitano, Stanislaw Andrzej Raczynski, Shigeki Miyabe, Takuya Nishimoto, Nobutaka Ono, Shigeki Sagayama. 7-12 [doi]
- Multiple-F0 estimation of piano sounds exploiting spectral structure and temporal evolutionEmmanouil Benetos, Simon Dixon. 13-18 [doi]
- Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decodingNing Ma, Jon Barker, Heidi Christensen, Phil Green. 19-24 [doi]
- Online speech source separation in meeting scene with time-varying weights of noise covariance matricesMasahito Togami, Koichi Hori. 25-30 [doi]
- Informed source separation of orchestra and soloist using masking and unmaskingYushen Han, Christopher Raphael. 31-36 [doi]
- Detection of polyphonic music note onsets by application of the Bayesian theory of surprisePiotr Holonowicz, Perfecto Herrera. 37-42 [doi]
- A statistical model of speech F0 contoursHirokazu Kameoka, Jonathan Le Roux, Yasunori Ohishi. 43-48 [doi]
- Machine learning for learning how the brain recognizes speech and languageJanet M. Baker, Alexander M. Chan, Ksenija Marinkovic, Eric Halgren, Sydney S. Cash. 49-54 [doi]