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CiteSeerX — applied to Robust Speaker Recognition
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.8052#:~:text=Our%20purpose%20is%20to%20evaluate%20the%20efficiency%20of,basis%20decomposition%20algorithm%20and%20a%20spectrum%20basis%20projection.
Comparing MFCC and MPEG-7 Audio Features for …
https://www.merl.com/publications/docs/TR2004-082.pdf
2. MPEG-7 AUDIO FEATURES AND MFCC We compare the MPEG-7 standardized features for sound recognition with MFCC. Although both are spectrum-based features, MPEG-7 audio features are new to the audio fea-tures family while MFCC have been widely used in speech recognition and audio classification. The extraction pro-
Comparing MFCC and MPEG-7 Audio Features for …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.622.3451
We present a comparison of 6 methods for classification of sports audio. For the feature extraction we have two choices: MPEG-7 audio features and Mel-scale Frequency Cepstrum Coefficients(MFCC). For the classification we also have two choices: Maximum Likelihood Hidden Markov Models(ML-HMM) and Entropic Prior HMM(EP-HMM).
Comparing MFCC and MPEG-7 audio features for feature ...
https://www.researchgate.net/publication/4027900_Comparing_MFCC_and_MPEG-7_audio_features_for_feature_extraction_maximum_likelihood_HMM_and_entropic_prior_HMM_for_sports_audio_classification
We present a comparison of 6 methods for classification of sports audio. For the feature extraction we have two choices: MPEG-7 audio features and Mel-scale frequency cepstrum coefficients (MFCC).
CiteSeerX — Comparing MFCC and MPEG-7 Audio …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.2027
We present a comparison of 6 methods for classification of sports audio. For the feature extraction we have two choices: MPEG-7 audio features and Mel-scale Frequency Cepstrum Coefficients (MFCC). For the classificaiton we also have two choices: Maximum Likelihood Hidden Markov Models (ML-HMM) and Entropic Prior HMM(EP-HMM).
Comparing MFCC and MPEG7 Audio Features
http://www.imm.dtu.dk/~lfen/comparing%20MFCC%20and%20MPEG7%20Audio%20features.pdf
Created Date: 10/23/2002 10:32:42 AM
COMPARISON OF MPEG-7 AUDIO SPECTRUM PROJECTION …
http://elvera.nue.tu-berlin.de/files/0781Kim2004.pdf
In this paper we focus on MPEG-7 ASP vs. MFCC speaker recognition, sound classification and audio segmentation. 2. MPEG-7 AUDIO SPECTRUM PROJECTION (ASP) FEATURES AND MFCC In [3][4][5], the MPEG-7 ASP feature extraction is very well described. The MPEG-7 ASP feature extraction mainly consists of a Normalized Audio Spectrum
Comparison of MPEG-7 Basis Projection Features and …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.134
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Our purpose is to evaluate the efficiency of MPEG-7 basis projection (BP) features vs. Mel-scale Frequency Cepstrum Coefficients (MFCC) for speaker recognition in noisy environments. The MPEG-7 feature extraction mainly consists of a Normalized Audio Spectrum Envelope (NASE), a basis …
Comparison of MPEG-7 basis projection features and …
https://www.researchgate.net/publication/215760331_Comparison_of_MPEG-7_basis_projection_features_and_MFCC_applied_to_robust_speaker_recognition
Comparing MFCC and MPEG-7 audio features for feature extraction, maximum likelihood HMM and entropic prior HMM for sports audio classification Conference Paper Aug 2003
Comparison of MPEG-7 audio spectrum projection …
https://www.researchgate.net/publication/224751085_Comparison_of_MPEG-7_audio_spectrum_projection_features_and_MFCC_applied_to_speaker_recognition_sound_classification_and_audio_segmentation
Comparing MFCC and MPEG-7 audio features for feature extraction, maximum likelihood HMM and entropic prior HMM for sports audio classification Conference Paper Aug 2003
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