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Adsorption and diffusion on a stepped surface: Atomic hydrogen on Pt(211)

R. A. Olsen, Ş. C. Bădescu, S. C. Ying, E. J. Baerends
2004 Journal of Chemical Physics  
Noisy speech recognition based on codebook normalization of discrete-mixture hidden Markov models.  ...  In the 0-10-dB range, both the signals had no loss of intelligibility, but listeners rated the resynthesized signal as having higher quality.  ... 
doi:10.1063/1.1755664 pmid:15268219 fatcat:qgbl7hbggvan7eyuyiow2d4yhy

A transparency model and its applications for simulation of reflector arrays and sound transmission

Claus Lynge Christensen, Jens Holger Rindel
2006 Journal of the Acoustical Society of America  
Noisy speech recognition based on codebook normalization of discrete-mixture hidden Markov models.  ...  In the 0-10-dB range, both the signals had no loss of intelligibility, but listeners rated the resynthesized signal as having higher quality.  ...  Acoustic sensors on mobile platforms will enable basic research topics on temporal and spatial coherence and the description of ambient noise, with direct impact on the applicability of coherent processing  ... 
doi:10.1121/1.4786982 fatcat:uh2zucni3zaa5nnkivc5sh5tpq

Auralization of an orchestra using multichannel and multisource technique

Michelle C. Vigeant, Lily M. Wang, Jens Holger Rindel
2006 Journal of the Acoustical Society of America  
Noisy speech recognition based on codebook normalization of discrete-mixture hidden Markov models.  ...  In the 0-10-dB range, both the signals had no loss of intelligibility, but listeners rated the resynthesized signal as having higher quality.  ...  Acoustic sensors on mobile platforms will enable basic research topics on temporal and spatial coherence and the description of ambient noise, with direct impact on the applicability of coherent processing  ... 
doi:10.1121/1.4787034 fatcat:brilcvuxpbgdvpdfzwovehoary

Notes [chapter]

2019 Keys to Play  
See Helm, "Six Random Measures of C. P. E.  ...  On the applicability of Markov chains to processes of musical generation, see Nierhaus, Algorithmic Composition, 67-82. . 88.  ... 
doi:10.1525/9780520965096-008 fatcat:zekwznzjonfznlrziv63jpc7wy