Cepstrum

Results: 125



#Item
31Computational neuroscience / Applied mathematics / Science / Computational linguistics / Computer accessibility / Speech recognition / Mel-frequency cepstrum / Artificial neural network / Linear prediction / Signal processing / Neural networks / Statistics

Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks Dimitri Palaz1,2 , Ronan Collobert1 , Mathew Magimai.-Doss1 1 2

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Source URL: ronan.collobert.com

Language: English - Date: 2013-12-19 12:36:56
32Matrix theory / Non-negative matrix factorization / Mel-frequency cepstrum / Mathematics / Signal processing / Linear algebra

A DATABASE AND CHALLENGE FOR ACOUSTIC SCENE CLASSIFICATION AND EVENT DETECTION Dimitrios Giannoulis† , Dan Stowell† , Emmanouil Benetos‡ , Mathias Rossignol§ , Mathieu Lagrange§ and Mark D. Plumbley† † Centre

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Source URL: c4dm.eecs.qmul.ac.uk

Language: English - Date: 2013-11-01 08:29:51
33Human communication / Speech enhancement / Speech processing / Speech recognition / Speech synthesis / Cepstrum / Voice analysis / Computational linguistics / Human voice / Science

CONTENTS Foreward . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Plenary lecture – Metin Akay, “Advances in sig

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Source URL: www.fupress.com

Language: English - Date: 2013-05-31 04:29:16
34Telecommunications engineering / Filter bank / Beamforming / Speech recognition / Mel-frequency cepstrum / Adaptive filter / Estimation theory / Matched filter / Microphone array / Signal processing / Digital signal processing / Electronic engineering

IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 14, NO. 6, NOVEMBERSubband Likelihood-Maximizing Beamforming for Speech Recognition in Reverberant Environments

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Source URL: www.cs.cmu.edu

Language: English - Date: 2006-10-21 10:28:03
35Electrical engineering / Transforms / Fourier analysis / Mathematics / Short-time Fourier transform / Digital signal processing / Spectrogram / Spectral density / Cepstrum / Signal processing / Time–frequency analysis / Mathematical analysis

Kay Gemba, TC-SPResults for International Student Challenge Problem in Acoustic Signal ProcessingKay L. Gemba

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Source URL: www.ore.hawaii.edu

Language: English - Date: 2014-11-06 21:58:22
36Interactive voice response / Cepstral / Speech synthesis / Cepstrum / Asterisk / Software / User interface techniques / Computational linguistics

Text-To-Speech Applications Using Static and Dynamic Prompts Together Presented by Matt Florell

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Source URL: www.vicidial.org

Language: English - Date: 2010-07-22 16:27:01
37Waves / Speech synthesis / Computational linguistics / Phonetics / Inverse filter / Vocoder / Synthesizer / Human voice / Cepstrum / Sound / Music / Electronic musical instruments

An HMM-based speech synthesiser using Glottal Post-Filtering Jo˜ao P. Cabral1,2 , Steve Renals2 , Korin Richmond2 , Junichi Yamagishi2 1 School of Computer Science and Informatics, University College Dublin, Ireland 2

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Source URL: www.cstr.ed.ac.uk

Language: English - Date: 2010-11-09 10:52:18
38Computational linguistics / Science / Digital signal processing / Speech synthesis / Speech recognition / Formant / Royal Institute of Technology / Cepstrum / Linear predictive coding / Linguistics / Human voice / Phonetics

Relations between acoustical features and accuracy in recognition of children’s speech Martina Huber Magisterarbeit

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Source URL: www.speech.kth.se

Language: English
39Speech recognition / Human–computer interaction / Science / Software / Mel-frequency cepstrum / Computational linguistics / Automatic identification and data capture / Computer accessibility

Speech recognition and adaptation experiments on children’s speech Lena Måhl Handledare: Daniel Elenius Examinator: Mats Blomberg

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Source URL: www.speech.kth.se

Language: English
40Linguistics / 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 Nußb

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Source URL: www.vocapia.com

Language: English - Date: 2012-01-21 13:31:53
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