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Mel-frequency cepstrum
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#	Item
1	AUTOMATIC LANGUAGE IDENTIFICATION IN MUSIC VIDEOS WITH LOW LEVEL AUDIO AND VISUAL FEATURES Vijay Chandrasekhar, Mehmet Emre Sargin, David A. Ross Google, IncAmphitheatre Parkway Mountain View, CA 94043 Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2011-07-14 15:14:09 Information science Information retrieval Music information retrieval Image segmentation Mel-frequency cepstrum YouTube Visual descriptor Support vector machine Speech recognition
2	Hidden Voice Commands Nicholas Carlini∗ University of California, Berkeley Tavish Vaidya Georgetown University Clay Shields Add to Reading List Source URL: security.cs.georgetown.edu Language: English - Date: 2016-06-29 23:07:54 Cyberwarfare Computational linguistics Automatic identification and data capture Computer accessibility Speech recognition Mel-frequency cepstrum Computer security Denial-of-service attack Artificial neural network CMU Sphinx Vector CAPTCHA
3	11th International Society for Music Information Retrieval Conference (ISMIRCOMBINING FEATURES REDUCES HUBNESS IN AUDIO SIMILARITY Arthur Flexer,1 Dominik Schnitzer,1,2 Martin Gasser,1 Tim Pohle2 1 Austrian Resea Add to Reading List Source URL: ismir2010.ismir.net Language: English - Date: 2014-01-23 13:05:23 Music information retrieval International Society for Music Information Retrieval Mel-frequency cepstrum K-nearest neighbors algorithm Similarity measure Information retrieval
4	IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 20, NO. 8, OCTOBERLearning Content Similarity for Music Recommendation Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Machine learning Music information retrieval Natural language processing Search algorithms Multivariate statistics Vector quantization Learning to rank K-nearest neighbors algorithm Similarity learning Recommender system Information retrieval Mel-frequency cepstrum
5	Audio Engineering Society Convention Paper Presented at the 127th Convention 2009 October 9–12 New York, NY, USA The papers at this Convention have been selected on the basis of a submitted abstract and extended preci Add to Reading List Source URL: www.j3l7h.de Language: English - Date: 2012-05-27 06:31:28 Software synthesizers Music information retrieval Signal processing Music software Virtual Studio Technology Mel-frequency cepstrum Synthesizer Reason Csound Mathematical optimization Spectrogram Audacity
6	A SUPERVISED APPROACH FOR DETECTING BOUNDARIES IN MUSIC USING DIFFERENCE FEATURES AND BOOSTING Douglas Turnbull1 , Gert Lanckriet2 Computer Science & Engineering1 Electrical & Computer Engineering2 University of Californ Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Music information retrieval Machine learning Timefrequency analysis Statistical classification Chroma feature Music technology Image segmentation Mel-frequency cepstrum AdaBoost Linear classifier Supervised learning Diff utility
7	HISTOGRAM-BASED SUBBAND POWER WARPING AND SPECTRAL AVERAGING FOR ROBUST SPEECH RECOGNITION UNDER MATCHED AND MULTISTYLE TRAINING Mark J. Harvilla and Richard M. Stern Department of Electrical and Computer Engineering Car Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-09-28 08:17:46 Electrical engineering Image processing Signal processing Engineering Electromagnetism Mel-frequency cepstrum Histogram matching Speech recognition Histogram equalization Signal-to-noise ratio Image histogram Noise reduction
8	IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. X, NO. X, MONTH, YEAR 1 Power-Normalized Cepstral Coefficients (PNCC) for Robust Speech Recognition Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-01-01 17:23:51 Signal processing Information science Electrical engineering Telecommunications engineering Mel-frequency cepstrum Speech recognition Sampling Speech enhancement Reverberation Filter
9	Wed.O7b.05 Mean Hilbert Envelope Coefficients (MHEC) for Robust Speaker Recognition Add to Reading List Source URL: crss.utdallas.edu Language: English Algebra Mathematics Signal processing Automatic identification and data capture Mel-frequency cepstrum Music information retrieval Speaker recognition Microphone Loudspeaker Eigenvalues and eigenvectors
10	Cocaine Noodles: Exploiting the Gap between Human and Machine Speech Recognition∗ Tavish Vaidya Georgetown University Yuankai Zhang Add to Reading List Source URL: security.cs.georgetown.edu Language: English - Date: 2015-08-12 11:28:12 Computational linguistics Speech recognition Mel-frequency cepstrum Speech synthesis Speech processing Deep learning Perception Acoustic model

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