Cepstrum

Results: 125



#Item
111Delay / Cepstrum / MPEG-1 Audio Layer II / Signal processing / Electronics / Printing / Edward Felten / Secure Digital Music Initiative / Watermark

USENIX Association Proceedings of the 10th USENIX Security Symposium Washington, D.C., USA

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Source URL: static.usenix.org

Language: English - Date: 2002-01-02 17:10:51
112Signal processing / Randomness / Thermodynamics / Kullback–Leibler divergence / Mel-frequency cepstrum / Principle of maximum entropy / Vector quantization / Estimation theory / Speaker recognition / Statistics / Information theory / Statistical theory

Fundamentals of Speaker Recognition Homayoon Beigi Fundamentals of Speaker Recognition

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Source URL: www.fundamentalsofspeakerrecognition.org

Language: English - Date: 2011-11-08 09:04:19
113Human communication / Phonation / Computational linguistics / Computer accessibility / Speech recognition / Vowel / Modal voice / Cepstrum / Voice / Linguistics / Human voice / Phonetics

2pSCa5. Glottal articulations in tense vs lax phonation contrasts. Jianjing Kuang (Linguist, Univ. of Pennsylvania, UCLA Campbell Hall 3125, Los Angeles, California 90095, [removed]) and Patricia Keating (UCLA, L

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Source URL: www.vandammark.com

Language: English - Date: 2013-12-09 14:05:01
114Applied mathematics / Speech recognition / Mel-frequency cepstrum / Supervised learning / Feedforward neural network / Backpropagation / Discrete cosine transform / Neural networks / Cybernetics / Science

UNDERSTANDING HOW DEEP BELIEF NETWORKS PERFORM ACOUSTIC MODELLING Abdel-rahman Mohamed, Geoffrey Hinton, and Gerald Penn Department of Computer Science, University of Toronto ABSTRACT Deep Belief Networks (DBNs) are a ve

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Source URL: www.cs.toronto.edu

Language: English - Date: 2012-09-17 19:52:25
115Gaussian function / Fourier analysis / Integral transforms / Signal processing / Cepstrum / Radon transform / Point spread function / Deconvolution / Trigonometric functions / Mathematical analysis / Mathematics / Image processing

BLIND IMAGE DECONVOLUTION: MOTION BLUR ESTIMATION By Felix Krahmer, Youzuo Lin, Bonnie McAdoo Katharine Ott, Jiakou Wang, David Widemann and

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Source URL: ima.umn.edu

Language: English - Date: 2011-10-06 10:32:49
116Linguistics / Human–computer interaction / Quaero / Vocapia Research / Mel-frequency cepstrum / N-gram / Acoustic model / Evaluation of machine translation / RWTH ASR / Computational linguistics / Speech recognition / Science

Speech Recognition for Machine Translation in Quaero Lori Lamel1 , Sandrine Courcinous4 , Julien Despres4 , Jean-Luc Gauvain1 , Yvan Josse4 , Kevin Kilgour2 , Florian Kraft2 , Viet Bac Le1,4 , Hermann Ney3 , Markus Nußbaum-Thom3 , Ilya Oparin1 ,

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Source URL: csl.anthropomatik.kit.edu

Language: English - Date: 2013-10-07 18:42:04
117Musical tuning / Acoustics / Keyboard instruments / Inharmonicity / Harmonic series / Cepstrum / Harmonic / Piano tuning / Pitch / Sound / Music / Waves

Dept. for Speech, Music and Hearing Quarterly Progress and

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Source URL: www.speech.kth.se

Language: English
118Human–computer interaction / Signal processing / Computational linguistics / Speech synthesis / Biometrics / Speech recognition / Cepstrum / Speaker recognition / Speech processing / Human voice / Automatic identification and data capture / Human communication

Speaker Recognition: A Tutorial JOSEPH P. CAMPBELL, JR., SENIOR MEMBER, IEEE Invited Paper

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Source URL: www.cs.bgu.ac.il

Language: English - Date: 2007-02-19 08:48:56
119Human communication / Prosody / Formant / Paralanguage / Speech recognition / Cepstrum / Emotion / Pitch contour / Klaus Scherer / Linguistics / Phonetics / Human voice

Emotional speech recognition: Resources, features, and methods Dimitrios Ververidis and Constantine Kotropoulos ∗ Artificial Intelligence and Information Analysis Laboratory, Department of Informatics, Aristotle University of

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Source URL: poseidon.csd.auth.gr

Language: English - Date: 2006-11-07 02:13:34
120Automatic identification and data capture / Science / Signal processing / Feeling / Mel-frequency cepstrum / Artificial intelligence applications / Prosody / Speech recognition / Supervised learning / Linguistics / Computational linguistics / Mind

Emotion Detection from Speech 1. Introduction Although emotion detection from speech is a relatively new field of research, it has many potential

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Source URL: cs229.stanford.edu

Language: English - Date: 2011-09-13 20:17:11
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