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Cepstrum
Results: 125

#	Item
51	EurospeechScandinavia Rapid Vocal Tract Length Normalization using Maximum Likelihood Estimation Tadashi Emori and Koichi Shinoda Computer & Communication Media Research, NEC Corporation, Add to Reading List Source URL: wiki.inf.ed.ac.uk Language: English - Date: 2009-02-17 12:27:03 Cepstrum Speech recognition Maximum likelihood Hidden Markov model Parameter space Parameter Linear regression Statistics Estimation theory Statistical theory
52	Advances in Large Vocabulary Continuous Speech Recognition Geoffrey Zweig and Michael Picheny IBM T. J. Watson Research Center, Yorktown Heights, NY, 10598 gzweig,picheny @us.ibm.com Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2003-08-08 16:52:56 Science Probability Speech recognition Machine learning Bioinformatics Hidden Markov model Mel-frequency cepstrum N-gram Mixture model Statistics Markov models Computational linguistics
53	EUROSPEECHGENEVA Toward Domain-Independent Conversational Speech Recognition Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, and Michael Picheny IBM Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2006-11-22 18:46:06 Science Humanâ€“computer interaction Computer accessibility Speech recognition Mixture model Acoustic model Hidden Markov model Mel-frequency cepstrum Computational linguistics Statistics Automatic identification and data capture
54	Visualizing Music and Audio using Self-Similarity Jonathan Foote FX Palo Alto Laboratory, IncHillview Ave., Building 4 Palo Alto, CAUSA + Add to Reading List Source URL: www.musanim.com Language: English - Date: 2007-03-09 12:59:30 Computing Computational science Infographics Scientific modeling Visualization Mel-frequency cepstrum Self-similarity Music visualization MIDI Visual arts Science Visual music
55	Unsupervised Environment Recognition and Modeling using Sound Sensing Arnold Kalmbach, Yogesh Girdhar, and Gregory Dudek Abstract— We discuss the problem of automatically discovering different acoustic regions in the w Add to Reading List Source URL: www.cim.mcgill.ca Language: English - Date: 2013-07-25 19:11:42 Mel-frequency cepstrum Signal processing Latent Dirichlet allocation Statistics Image processing Speech recognition Æ Segmentation Topic model Statistical natural language processing Linguistics Computational linguistics
56	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Non-negative source-filter dynamical system for speech enhancement Add to Reading List Source URL: www.merl.com Language: English - Date: 2014-07-25 15:57:29 Speech recognition Hidden Markov model Markov chain Non-negative matrix factorization Speech enhancement Additive white Gaussian noise Cepstrum Statistics Markov models Kalman filter
57	IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 1 Codebook based Audio Feature Representation for Music Information Retrieval Add to Reading List Source URL: bmcfee.github.io Language: English - Date: 2015-03-31 11:15:28 Science Signal processing Representation theory of Lie groups Vector calculus Lie algebras Vector quantization Lasso Music information retrieval Mel-frequency cepstrum Information science Algebra Information retrieval
58	IEEE SIGNAL PROCESSING LETTERS, VOL. X, NO. X, Probabilistic Linear Discriminant Analysis for Acoustic Modelling Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2014-03-21 12:09:58 Markov models Statistical models Statistical classification Speech recognition Hidden Markov model Mixture model Linear discriminant analysis Generalized method of moments Mel-frequency cepstrum Statistics Estimation theory Bayesian statistics
59	Cepstral Analysis Tools for Percussive Timbre Identification William Brent Department of Music and Center for Research in Computing and the Arts University of California, San Diego Add to Reading List Source URL: puredata.info Language: English - Date: 2012-02-22 09:40:24 Mel-frequency cepstrum Timbre Music information retrieval Frequency modulation Music Signal processing Cepstrum
60	Enhanced Robot Speech Recognition Based on Microphone Array Source Separation and Missing Feature Theory Shun’ichi Yamamoto†, Jean-Marc Valin†,‡ , Kazuhiro Nakadai∗, Jean Rouat‡ , François Michaud‡, Tetsuy Add to Reading List Source URL: jmvalin.ca Language: English - Date: 2005-01-19 21:58:42 Electromagnetism Computational linguistics Automatic identification and data capture Computer accessibility Speech recognition Noise reduction Filter Mel-frequency cepstrum Electronic filter Signal processing Electronics Electronic engineering