Différences
Cette page vous donne les différences entre la révision choisie et la version actuelle de la page.
paco:cbmi18 [2018/05/17 10:19] Jean Bresson |
paco:cbmi18 [2018/06/05 12:28] (Version actuelle) Paul Best |
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Ligne 6: | Ligne 6: | ||
This page presents the complete results from the experiments presented in the paper. | This page presents the complete results from the experiments presented in the paper. | ||
- | /************* | + | ===== Training and testing with Mel Frequency cepstral coeffients and common descriptors===== |
- | TODO: | + | |
- | - tous les descripteurs + une variation des autres params (states et params) | + | The table below presents the performance of XMM models trained with the 12 Mel frquency cepstral coefficients and the 9 ircam descriptors (Frequency, Energy, Periodicity, AC1, Loudness, Centroid, Spread, Skewness, and Kurtosis) |
- | - only MFCCs | + | |
- | - only descriptors | + | |Number of hidden states| Relative regu | Absolute regu | test set accuracy | training set accuracy | |
+ | |20|0.1|0.05|0.021052633|0.058803257| | ||
+ | |20|0.2|0.05|0.07046784|0.073694654| | ||
+ | |20|0.3|0.05|0.48687866|0.8526838| | ||
+ | |20|0.4|0.05|0.49937865|0.84136385| | ||
+ | |20|0.5|0.05|0.50423974|0.83066| | ||
+ | |30|0.1|0.05|0.51217103|0.8752297| | ||
+ | |30|0.2|0.05|0.53380847|0.88536966| | ||
+ | |30|0.3|0.05|0.5706506|0.87174184| | ||
+ | |30|0.4|0.05|0.55584795|0.8657477| | ||
+ | |30|0.5|0.05|0.54444445|0.8692982| | ||
+ | |40|0.1|0.05|0.533114|0.8823726| | ||
+ | |40|0.2|0.05|0.57054097|0.9025585| | ||
+ | |40|0.3|0.05|0.5715278|0.902005| | ||
+ | |40|0.4|0.05|0.5763889|0.8949039| | ||
+ | |40|0.5|0.05|0.5698465|0.881203| | ||
+ | |50|0.1|0.05|0.5335161|0.88831455| | ||
+ | |50|0.2|0.05|0.5601243| 0.88062865| | ||
+ | |50|0.3|0.05|0.5486111| 0.8776838| | ||
+ | |50|0.4|0.05|0.5541667| 0.86996657| | ||
+ | |50|0.5|0.05|0.5483187| 0.86873436| | ||
+ | |||
+ | |||
+ | ===== Training and testing with Mel Frequency cepstral coeffients ===== | ||
+ | |||
+ | The table below presents the performance of XMM models trained with the 12 Mel frquency cepstral coefficients | ||
+ | |Number of hidden states| Relative regu | Absolute regu | test set accuracy | training set accuracy | | ||
+ | |10|0.1|0.05|0.4624269|0.7771825| | ||
+ | |10|0.15|0.1|0.44634503|0.79201127| | ||
+ | |10|0.05|0.01|0.43483186|0.7683062| | ||
+ | |15|0.1|0.05|0.49031433|0.8258876| | ||
+ | |15|0.15|0.1|0.5386696|0.82710946| | ||
+ | |15|0.05|0.01|0.44733188|0.82301587| | ||
+ | |20|0.1|0.05|0.53837717|0.84613616| | ||
+ | |20|0.15|0.1|0.5258772|0.85326857| | ||
+ | |20|0.05|0.01|0.4857456|0.85562867| | ||
+ | |25|0.1|0.05|0.5610015|0.85326857| | ||
+ | |25|0.15|0.1|0.5659722|0.87166876| | ||
+ | |25|0.05|0.01|0.55983186|0.8538429| | ||
+ | |||
+ | ===== Training and testing with common descriptors ===== | ||
+ | |||
+ | The table below presents the performance of XMM models trained with 9 common descriptors : Frequency, Energy, Periodicity, AC1, Loudness, Centroid, Spread, Skewness, and Kurtosis | ||
+ | |Number of hidden states| Relative regu | Absolute regu | test set accuracy | training set accuracy | | ||
+ | | 10 | 0.1 | 0.05 | 0.42372075 | 0.654198 | | ||
+ | |10|0.15|0.1|0.4355263|0.62569964| | ||
+ | |10|0.05|0.01|0.43852338|0.66724104| | ||
+ | |15|0.1|0.05|0.46611843|0.7314745| | ||
+ | |15|0.15|0.1|0.48161548|0.7285192| | ||
+ | |15|0.05|0.01|0.49828216|0.7605785| | ||
+ | |20|0.1|0.05|0.5271564|0.79918546| | ||
+ | |20|0.15|0.1|0.51048977|0.79144735| | ||
+ | |20|0.05|0.01|0.51304824|0.8128655| | ||
+ | |25|0.1|0.05|0.5066155|0.8170008| | ||
+ | |25|0.15|0.1|0.4786184|0.8098684| | ||
+ | |25|0.05|0.01|0.5282529|0.830117| | ||
- | *************/ | ||
===== Training and testing with 1 descriptor ===== | ===== Training and testing with 1 descriptor ===== | ||
Ligne 267: | Ligne 321: | ||
- | /* | + | ===== Training and testing with combinations of 3 descriptors ===== |
- | Hyper-parameter notation : (("pipo-module" (descriptors to keep) hidden-states-number (relative-regularization absolute-regularization)) (test-set-accu train-set-accu)) | + | |
+ | The table below presents the performance of XMM models trained with combinations of 3 audio descriptors selected from this set : (0 1 2 3 12 14 16 17 18). \\ | ||
+ | The models were tested with 18 hidden states and (0.1 0.05) as regularization values. | ||
+ | |||
+ | Numeric notation used for descriptors : | ||
+ | * [0-11] : MFCC Coefficients | ||
+ | * [12-20] : Frequency, Energy, Periodicity, AC1, Loudness, Centroid, Spread, Skewness, Kurtosis | ||
+ | |||
+ | ^ Descriptors ^ Test set accuracy ^ Training set accuracy ^ | ||
+ | | 0 1 2 | 0.53877926 | 0.75701756 | | ||
+ | | 0 1 3 | 0.5505848 | 0.77959484 | | ||
+ | | 0 1 12 | 0.5346857 | 0.77181495 | | ||
+ | | 0 1 14 | 0.48439327 | 0.71718884 | | ||
+ | | 0 1 16 | 0.4802997 | 0.727924 | | ||
+ | | 0 1 17 | 0.463231 | 0.7076963 | | ||
+ | | 0 1 18 | 0.5342105 | 0.74685675 | | ||
+ | | 0 2 3 | 0.46480262 | 0.7475042 | | ||
+ | | 0 2 12 | 0.47335526 | 0.7338659 | | ||
+ | | 0 2 14 | 0.41546053 | 0.6595865 | | ||
+ | | 0 2 16 | 0.4572734 | 0.68871135 | | ||
+ | | 0 2 17 | 0.51604534 | 0.7243943 | | ||
+ | | 0 2 18 | 0.46659356 | 0.7010965 | | ||
+ | | 0 3 12 | 0.50252194 | 0.7582289 | | ||
+ | | 0 3 14 | 0.5197003 | 0.7510756 | | ||
+ | | 0 3 16 | 0.50292397 | 0.7249478 | | ||
+ | | 0 3 17 | 0.50679827 | 0.7415727 | | ||
+ | | 0 3 18 | 0.5313962 | 0.7486216 | | ||
+ | | 0 12 14 | 0.46451023 | 0.7017335 | | ||
+ | | 0 12 16 | 0.5565424 | 0.7278822 | | ||
+ | | 0 12 17 | 0.47108918 | 0.71013994 | | ||
+ | | 0 12 18 | 0.51820177 | 0.7219716 | | ||
+ | | 0 14 16 | 0.50303364 | 0.674363 | | ||
+ | | 0 14 17 | 0.45 | 0.68392855 | | ||
+ | | 0 14 18 | 0.4811769 | 0.6981725 | | ||
+ | | 0 16 17 | 0.4652047 | 0.71359647 | | ||
+ | | 0 16 18 | 0.5410453 | 0.71424395 | | ||
+ | | 0 17 18 | 0.4743421 | 0.7403404 | | ||
+ | | 1 2 3 | 0.52032167 | 0.78437764 | | ||
+ | | 1 2 12 | 0.48804826 | 0.7242899 | | ||
+ | | 1 2 14 | 0.4621345 | 0.72081244 | | ||
+ | | 1 2 16 | 0.5322368 | 0.7456767 | | ||
+ | | 1 2 17 | 0.5137427 | 0.7635547 | | ||
+ | | 1 2 18 | 0.55105997 | 0.77901 | | ||
+ | | 1 3 12 | 0.49597952 | 0.71129907 | | ||
+ | | 1 3 14 | 0.54035086 | 0.75884504 | | ||
+ | | 1 3 16 | 0.5623903 | 0.7599833 | | ||
+ | | 1 3 17 | 0.52090645 | 0.77901 | | ||
+ | | 1 3 18 | 0.5468933 | 0.760495 | | ||
+ | | 1 12 14 | 0.4824927 | 0.70232875 | | ||
+ | | 1 12 16 | 0.5517544 | 0.78429407 | | ||
+ | | 1 12 17 | 0.4564693 | 0.72127194 | | ||
+ | | 1 12 18 | 0.5639985 | 0.75157685 | | ||
+ | | 1 14 16 | 0.51147664 | 0.73029447 | | ||
+ | | 1 14 17 | 0.48048246 | 0.7385547 | | ||
+ | | 1 14 18 | 0.54989034 | 0.73383457 | | ||
+ | | 1 16 17 | 0.45259503 | 0.6899018 | | ||
+ | | 1 16 18 | 0.53548974 | 0.7391395 | | ||
+ | | 1 17 18 | 0.5715278 | 0.7878655 | | ||
+ | | 2 3 12 | 0.4604532 | 0.7094507 | | ||
+ | | 2 3 14 | 0.35570174 | 0.6643588 | | ||
+ | | 2 3 16 | 0.4755117 | 0.6921888 | | ||
+ | | 2 3 17 | 0.47108918 | 0.77008147 | | ||
+ | | 2 3 18 | 0.56458337 | 0.7867481 | | ||
+ | | 2 12 14 | 0.41944444 | 0.663137 | | ||
+ | | 2 12 16 | 0.49597952 | 0.7249269 | | ||
+ | | 2 12 17 | 0.44495615 | 0.6862155 | | ||
+ | | 2 12 18 | 0.520614 | 0.74446536 | | ||
+ | | 2 14 16 | 0.46878654 | 0.68865914 | | ||
+ | | 2 14 17 | 0.44674706 | 0.7260756 | | ||
+ | | 2 14 18 | 0.5483918 | 0.7469716 | | ||
+ | | 2 16 17 | 0.49269006 | 0.7095342 | | ||
+ | | 2 16 18 | 0.5140351 | 0.7106412 | | ||
+ | | 2 17 18 | 0.5531798 | 0.7843463 | | ||
+ | | 3 12 14 | 0.363231 | 0.5911967 | | ||
+ | | 3 12 16 | 0.5022295 | 0.7309106 | | ||
+ | | 3 12 17 | 0.4125 | 0.66609234 | | ||
+ | | 3 12 18 | 0.4746345 | 0.7160192 | | ||
+ | | 3 14 16 | 0.52068717 | 0.73203844 | | ||
+ | | 3 14 17 | 0.40394738 | 0.6608187 | | ||
+ | | 3 14 18 | 0.4811769 | 0.73144317 | | ||
+ | | 3 16 17 | 0.50679827 | 0.7249373 | | ||
+ | | 3 16 18 | 0.49824563 | 0.72426904 | | ||
+ | | 3 17 18 | 0.5432383 | 0.77310986 | | ||
+ | | 12 14 16 | 0.50946635 | 0.71424395 | | ||
+ | | 12 14 17 | 0.41447368 | 0.6257728 | | ||
+ | | 12 14 18 | 0.4686769 | 0.6957811 | | ||
+ | | 12 16 17 | 0.46461988 | 0.7023601 | | ||
+ | | 12 16 18 | 0.5018275 | 0.7047097 | | ||
+ | | 12 17 18 | 0.52189327 | 0.7475355 | | ||
+ | | 14 16 17 | 0.44802633 | 0.6939432 | | ||
+ | | 14 16 18 | 0.4763158 | 0.7136487 | | ||
+ | | 14 17 18 | 0.56567985 | 0.7742795 | | ||
+ | | 16 17 18 | 0.47931287 | 0.7522661 | | ||
+ | |||
+ | |||
+ | |||
+ | ==== Confusion matrix ==== | ||
+ | This confusion matrix represents the accuracy for a model tested without markers (on each frame of 100ms). | ||
+ | This models was trained with 49 hidden states, regularization of (0.42, 0.045), with the following descriptors : | ||
+ | Mel Frequency Cepstral Coefficients #1 #2 #3 #4 #6 #8 #12, Frequency, Energy, Periodicity, AC1, and Loudness. | ||
+ | |Z|0|0|0|0|0|0|0|0|0|0|0|0|10/61|0|91/122|0|0|0|11/122|0| | ||
+ | |Q|0|1/32|1/32|21/32|3/32|0|0|0|1/32|0|3/32|0|0|1/32|0|0|0|0|1/32|0| | ||
+ | |A|0|0|19/100|49/100|2/25|0|0|1/20|0|0|1/10|0|0|0|0|1/20|0|0|1/100|3/100| | ||
+ | |C|0|1/714|1/34|201/238|1/119|1/714|1/714|29/357|0|0|5/357|0|0|2/357|1/357|5/714|0|0|1/357|0| | ||
+ | |B|0|0|11/107|1/107|75/107|0|0|8/107|0|0|0|0|11/107|0|0|0|0|1/107|0|0| | ||
+ | |E|0|0|0|50/201|4/201|80/201|10/201|7/67|0|0|1/67|5/201|1/67|2/201|0|0|0|1/67|5/67|5/201| | ||
+ | |F|0|0|0|17/94|0|13/94|16/47|0|0|0|0|0|0|0|0|0|0|0|11/94|21/94| | ||
+ | |G|0|3/340|0|19/340|0|3/85|0|259/340|1/136|1/340|13/680|5/136|0|0|3/85|1/68|0|0|0|3/136| | ||
+ | |P|0|0|0|0|0|10/113|0|11/226|62/113|0|1/226|1/226|0|0|2/113|11/226|0|0|39/226|15/226| | ||
+ | |I|0|0|0|6/29|0|0|0|33/145|0|0|0|0|0|6/145|0|0|0|0|0|76/145| | ||
+ | |R|0|13/192|1/576|41/192|1/288|0|0|15/32|0|0|95/576|1/64|1/576|7/576|0|0|0|0|1/192|13/288| | ||
+ | |H|0|0|0|124/673|0|10/673|0|59/673|58/673|0|20/673|289/673|2/673|69/673|6/673|7/673|0|2/673|13/673|14/673| | ||
+ | |J|0|0|0|0|0|7/171|0|37/114|0|0|0|23/342|70/171|13/342|7/171|0|0|0|5/342|11/171| | ||
+ | |K|0|0|0|3/40|0|0|0|3/16|1/160|0|0|5/32|0|91/160|1/160|0|0|0|0|0| | ||
+ | |L|0|0|0|7/71|0|0|0|37/213|0|0|0|34/213|0|17/71|67/213|1/213|0|2/213|0|0| | ||
+ | |M|0|0|0|41/125|0|4/125|0|7/125|0|0|13/125|14/125|0|0|0|39/125|0|0|1/125|6/125| | ||
+ | |S|0|0|0|0|0|0|0|25/49|0|0|0|24/49|0|0|0|0|0|0|0|0| | ||
+ | |N|0|0|0|0|0|5/67|0|0|0|0|0|0|0|0|0|0|0|39/67|0|23/67| | ||
+ | |O|0|0|0|0|0|7/71|0|0|0|0|0|0|1/71|0|0|1/213|0|0|57/71|17/213| | ||
+ | |T|0|1/350|0|0|0|31/350|0|3/175|8/175|3/350|0|17/350|0|1/350|0|9/175|0|0|19/350|17/25| | ||
+ | | |Z|Q|A|C|B|E|F|G|P|I|R|H|J|K|L|M|S|N|O|T| | ||
- | (("<mfcc,descr>" (0 1) 15 (0.1 0.05)) (0.4263889 0.64530075)) | ||
- | (("<mfcc,descr>" (0 2) 15 (0.1 0.05)) (0.31944445 0.5430138)) | ||
- | (("<mfcc,descr>" (0 3) 15 (0.1 0.05)) (0.4434576 0.6631683)) | ||
- | (("<mfcc,descr>" (0 4) 15 (0.1 0.05)) (0.2886696 0.52935464)) | ||
- | (("<mfcc,descr>" (0 5) 15 (0.1 0.05)) (0.4060307 0.59417296)) | ||
- | (("<mfcc,descr>" (0 6) 15 (0.1 0.05)) (0.33088452 0.55374897)) | ||
- | (("<mfcc,descr>" (0 7) 15 (0.1 0.05)) (0.39342105 0.5989662)) | ||
- | (("<mfcc,descr>" (0 8) 15 (0.1 0.05)) (0.39967105 0.6162072)) | ||
- | (("<mfcc,descr>" (0 9) 15 (0.1 0.05)) (0.42339182 0.6078634)) | ||
- | (("<mfcc,descr>" (0 10) 15 (0.1 0.05)) (0.41217107 0.5727966)) | ||
- | (("<mfcc,descr>" (0 11) 15 (0.1 0.05)) (0.39320177 0.5871136)) | ||
- | (("<mfcc,descr>" (0 12) 15 (0.1 0.05)) (0.39312866 0.6008041)) | ||
- | (("<mfcc,descr>" (0 13) 15 (0.1 0.05)) (0.28351608 0.41594613)) | ||
- | (("<mfcc,descr>" (0 14) 15 (0.1 0.05)) (0.39152047 0.5359545)) | ||
- | (("<mfcc,descr>" (0 15) 15 (0.1 0.05)) (0.31100145 0.44684628)) | ||
- | (("<mfcc,descr>" (0 16) 15 (0.1 0.05)) (0.4168494 0.5864453)) | ||
- | (("<mfcc,descr>" (0 17) 15 (0.1 0.05)) (0.43165204 0.60970134)) | ||
- | (("<mfcc,descr>" (0 18) 15 (0.1 0.05)) (0.3938231 0.6137949)) | ||
- | (("<mfcc,descr>" (0 19) 15 (0.1 0.05)) (0.41476607 0.5662281)) | ||
- | (("<mfcc,descr>" (0 20) 15 (0.1 0.05)) (0.3756579 0.5662281)) | ||
- | (("<mfcc,descr>" (1 2) 15 (0.1 0.05)) (0.3941155 0.6066625)) | ||
- | (("<mfcc,descr>" (1 3) 15 (0.1 0.05)) (0.40434942 0.63168335)) | ||
- | (("<mfcc,descr>" (1 4) 15 (0.1 0.05)) (0.39283624 0.6001984)) | ||
- | (("<mfcc,descr>" (1 5) 15 (0.1 0.05)) (0.40650585 0.59429825)) | ||
- | (("<mfcc,descr>" (1 6) 15 (0.1 0.05)) (0.40336257 0.6149332)) | ||
- | (("<mfcc,descr>" (1 7) 15 (0.1 0.05)) (0.36136696 0.6036863)) | ||
- | (("<mfcc,descr>" (1 8) 15 (0.1 0.05)) (0.35650584 0.60718465)) | ||
- | (("<mfcc,descr>" (1 9) 15 (0.1 0.05)) (0.43165204 0.5757936)) | ||
- | (("<mfcc,descr>" (1 10) 15 (0.1 0.05)) (0.35201022 0.57103175)) | ||
- | (("<mfcc,descr>" (1 11) 15 (0.1 0.05)) (0.38399124 0.6168233)) | ||
- | (("<mfcc,descr>" (1 12) 15 (0.1 0.05)) (0.47207603 0.6387218)) | ||
- | (("<mfcc,descr>" (1 13) 15 (0.1 0.05)) (0.28739035 0.4332498)) | ||
- | (("<mfcc,descr>" (1 14) 15 (0.1 0.05)) (0.43622077 0.5983187)) | ||
- | (("<mfcc,descr>" (1 15) 15 (0.1 0.05)) (0.31114766 0.49738932)) | ||
- | (("<mfcc,descr>" (1 16) 15 (0.1 0.05)) (0.47404972 0.63402254)) | ||
- | (("<mfcc,descr>" (1 17) 15 (0.1 0.05)) (0.38490498 0.5989244)) | ||
- | (("<mfcc,descr>" (1 18) 15 (0.1 0.05)) (0.46381578 0.64654345)) | ||
- | (("<mfcc,descr>" (1 19) 15 (0.1 0.05)) (0.36282894 0.57943815)) | ||
- | (("<mfcc,descr>" (1 20) 15 (0.1 0.05)) (0.36195177 0.5431391)) | ||
- | (("<mfcc,descr>" (2 3) 15 (0.1 0.05)) (0.3232456 0.5353592)) | ||
- | (("<mfcc,descr>" (2 4) 15 (0.1 0.05)) (0.2847222 0.5092523)) | ||
- | (("<mfcc,descr>" (2 5) 15 (0.1 0.05)) (0.32810673 0.5585526)) | ||
- | (("<mfcc,descr>" (2 6) 15 (0.1 0.05)) (0.29038742 0.5448935)) | ||
- | (("<mfcc,descr>" (2 7) 15 (0.1 0.05)) (0.29027778 0.51158107)) | ||
- | (("<mfcc,descr>" (2 8) 15 (0.1 0.05)) (0.27986112 0.53714496)) | ||
- | (("<mfcc,descr>" (2 9) 15 (0.1 0.05)) (0.32284358 0.52642024)) | ||
- | (("<mfcc,descr>" (2 10) 15 (0.1 0.05)) (0.26875 0.48665413)) | ||
- | (("<mfcc,descr>" (2 11) 15 (0.1 0.05)) (0.31103802 0.5442878)) | ||
- | (("<mfcc,descr>" (2 12) 15 (0.1 0.05)) (0.4119152 0.5954261)) | ||
- | (("<mfcc,descr>" (2 13) 15 (0.1 0.05)) (0.25314328 0.4057853)) | ||
- | (("<mfcc,descr>" (2 14) 15 (0.1 0.05)) (0.28501463 0.49788013)) | ||
- | (("<mfcc,descr>" (2 15) 15 (0.1 0.05)) (0.26980993 0.40582708)) | ||
- | (("<mfcc,descr>" (2 16) 15 (0.1 0.05)) (0.39312866 0.5906955)) | ||
- | (("<mfcc,descr>" (2 17) 15 (0.1 0.05)) (0.41787282 0.6560777)) | ||
- | (("<mfcc,descr>" (2 18) 15 (0.1 0.05)) (0.45489767 0.64714915)) | ||
- | (("<mfcc,descr>" (2 19) 15 (0.1 0.05)) (0.33665934 0.5330096)) | ||
- | (("<mfcc,descr>" (2 20) 15 (0.1 0.05)) (0.3096491 0.5056913)) | ||
- | (("<mfcc,descr>" (3 4) 15 (0.1 0.05)) (0.24539474 0.5057018)) | ||
- | (("<mfcc,descr>" (3 5) 15 (0.1 0.05)) (0.25782165 0.47225356)) | ||
- | (("<mfcc,descr>" (3 6) 15 (0.1 0.05)) (0.30745614 0.5234858)) | ||
- | (("<mfcc,descr>" (3 7) 15 (0.1 0.05)) (0.29206872 0.48433584)) | ||
- | (("<mfcc,descr>" (3 8) 15 (0.1 0.05)) (0.24312866 0.4961362)) | ||
- | (("<mfcc,descr>" (3 9) 15 (0.1 0.05)) (0.2699196 0.44088346)) | ||
- | (("<mfcc,descr>" (3 10) 15 (0.1 0.05)) (0.3030702 0.50393695)) | ||
- | (("<mfcc,descr>" (3 11) 15 (0.1 0.05)) (0.2690424 0.5133772)) | ||
- | (("<mfcc,descr>" (3 12) 15 (0.1 0.05)) (0.3030702 0.51280284)) | ||
- | (("<mfcc,descr>" (3 13) 15 (0.1 0.05)) (0.20003656 0.32439432)) | ||
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- | (("<mfcc,descr>" (14 19) 15 (0.1 0.05)) (0.22595029 0.4105681)) | ||
- | (("<mfcc,descr>" (14 20) 15 (0.1 0.05)) (0.12719299 0.34281537)) | ||
- | (("<mfcc,descr>" (15 16) 15 (0.1 0.05)) (0.34159356 0.44505012)) | ||
- | (("<mfcc,descr>" (15 17) 15 (0.1 0.05)) (0.31260964 0.40579575)) | ||
- | (("<mfcc,descr>" (15 18) 15 (0.1 0.05)) (0.38190788 0.49975982)) | ||
- | (("<mfcc,descr>" (15 19) 15 (0.1 0.05)) (0.19320175 0.30777988)) | ||
- | (("<mfcc,descr>" (15 20) 15 (0.1 0.05)) (0.12251462 0.24415206)) | ||
- | (("<mfcc,descr>" (16 17) 15 (0.1 0.05)) (0.43680555 0.62981415)) | ||
- | (("<mfcc,descr>" (16 18) 15 (0.1 0.05)) (0.45427632 0.61908937)) | ||
- | (("<mfcc,descr>" (16 19) 15 (0.1 0.05)) (0.3963816 0.5751566)) | ||
- | (("<mfcc,descr>" (16 20) 15 (0.1 0.05)) (0.35939327 0.5556182)) | ||
- | (("<mfcc,descr>" (17 18) 15 (0.1 0.05)) (0.5193348 0.6892962)) | ||
- | (("<mfcc,descr>" (17 19) 15 (0.1 0.05)) (0.2939693 0.50273604)) | ||
- | (("<mfcc,descr>" (17 20) 15 (0.1 0.05)) (0.3058845 0.48013785)) | ||
- | (("<mfcc,descr>" (18 19) 15 (0.1 0.05)) (0.38172513 0.5858605)) | ||
- | (("<mfcc,descr>" (18 20) 15 (0.1 0.05)) (0.31600878 0.52052004)) | ||
- | (("<mfcc,descr>" (19 20) 15 (0.1 0.05)) (0.112682745 0.22402883)) | ||
- | */ |