Probabilistic amplitude demodulation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4666 LNCS, Issue , 2007, Pages 544-551

  Turner, Richard E ^a   Sahani, Maneesh ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Audio processing; Dynamic and temporal models; Hierarchical models; Sparse representations; Unsupervised learning

Indexed keywords

AMPLITUDE MODULATION; DEMODULATION; DYNAMIC MODELS; SPEECH ANALYSIS; UNSUPERVISED LEARNING;

AUDIO PROCESSING; HIERARCHICAL MODELS; SPARSE REPRESENTATIONS; TEMPORAL MODELS;

ACOUSTIC SIGNAL PROCESSING;

EID: 38149042801     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74494-8_68     Document Type: Conference Paper

References (5)

1. Cohen, L.: Time-Frequency Analysis. Prentice Hall Signal Processing Series (1995)
2. Mackay, D.J.C.: Information Theory, Inference, and Learning Algorithms. Cambridge University Press, Cambridge (2003)
3. Lawrence, N.: Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models. J. Mach. Learn. Res. 6, 1783-1816 (2005)
4. Turner, R.E., Sahani, M.: Modeling Natural Sounds with Gaussian Modulation Cascade Processes. In: Advances in Models for Acoustic Processing Workshop (2006)
5. Turner, R.E., Sahani, M.: Probabilitic Amplidude Demodulation Technical Report. GCNU TR 2007-002 (2007), http://www.gatsby.ucl.ac.uk/publications/tr/