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A preliminary study shows rats to be more inquisitive than once thought.
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A preliminary study shows rats to be more inquisitive than once thought.
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A preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM04.wav
A preliminary study shows rats to be more inquisitive than once thought.
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A preliminary study shows rats to be more inquisitive than once thought.
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A preliminary study shows rats to be more inquisitive than once thought.
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A preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM05.wav
I guess I'll say, "What do you mean you're cutting my funding?" Because it seems like a weird motivation, like a preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM05.wav
I guess I'll say, "What do you mean you're cutting my funding?" Because it seems like a weird motivation, like a preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM05.wav
I guess I'll say, "What do you mean you're cutting my funding?" Because it seems like a weird motivation, like a preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM05.wav
I guess I'll say, "What do you mean you're cutting my funding?" Because it seems like a weird motivation, like a preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM05.wav
I guess I'll say, "What do you mean you're cutting my funding?" Because it seems like a weird motivation, like a preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM05.wav
I guess I'll say, "What do you mean you're cutting my funding?" Because it seems like a weird motivation, like a preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM05.wav
I guess I'll say, "What do you mean you're cutting my funding?" Because it seems like a weird motivation, like a preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM05.wav
I guess I'll say, "What do you mean you're cutting my funding?" Because it seems like a weird motivation, like a preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM05.wav
I guess I'll say, "What do you mean you're cutting my funding?" Because it seems like a weird motivation, like a preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-FM05.wav
I guess I'll say, "What do you mean you're cutting my funding?" Because it seems like a weird motivation, like a preliminary study shows rats to be more inquisitive than once thought.
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MSP-IMPROV-S08S-F01-P-MF01.wav
I guess I'll say, "Sorry to break it to you, but I'm going to have to cut your funding."Are you kidding?
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MSP-IMPROV-S08S-F01-P-MF01.wav
I guess I'll say, "Sorry to break it to you, but I'm going to have to cut your funding."Are you kidding?
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I guess I'll say, "Sorry to break it to you, but I'm going to have to cut your funding."Are you kidding?
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[ { "feats": [ 0.015133164823055267, -0.11624839156866074, 0.16684237122535706, -0.021744949743151665, 0.8477078676223755, 0.5242009162902832, 0.1555904746055603, 1.2945277690887451, 0.8754030466079712, -0.03789818659424782, -1.0845983028411865, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3.4
3.4
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948
MSP-IMPROV-S08S-F01-P-MF01.wav
I guess I'll say, "Sorry to break it to you, but I'm going to have to cut your funding."Are you kidding?
neutral
0.323
8,168
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[ { "feats": [ 0.04461966082453728, -0.1015474796295166, 0.20363786816596985, -0.008591588586568832, 0.8629338145256042, 0.5661853551864624, 0.1474187821149826, 1.292967677116394, 0.8694223165512085, -0.062330812215805054, -1.179534673690796, ...
speed_0.95
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948
MSP-IMPROV-S08S-F01-P-MF01.wav
I guess I'll say, "Sorry to break it to you, but I'm going to have to cut your funding."Are you kidding?
neutral
0.323
8,168
0.204189
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0
1.2
1.019804
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0
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3.4
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[ { "feats": [ -0.0020480328239500523, -0.08008556067943573, 0.15359313786029816, -0.011921532452106476, 0.8164136409759521, 0.5361694097518921, 0.15485985577106476, 1.2718976736068726, 0.8695573806762695, -0.03298083320260048, -1.1102793216705322,...
speed_1.05
speed_perturbation
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3.4
3.4
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948
MSP-IMPROV-S08S-F01-P-MF01.wav
I guess I'll say, "Sorry to break it to you, but I'm going to have to cut your funding."Are you kidding?
neutral
0.323
8,168
0.204189
-0.25
0
1.2
1.019804
0.748331
0
0
0
5
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3.4
3.4
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[ { "feats": [ 0.30231064558029175, -0.033148616552352905, 0.38924679160118103, -0.46102848649024963, 2.0304691791534424, 1.1188559532165527, 0.4747125208377838, 2.5095739364624023, 1.2463010549545288, -0.1025816798210144, -2.1960904598236084, ...
light_noise
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3.4
3.4
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948
MSP-IMPROV-S08S-F01-P-MF01.wav
I guess I'll say, "Sorry to break it to you, but I'm going to have to cut your funding."Are you kidding?
neutral
0.323
8,168
0.204189
-0.25
0
1.2
1.019804
0.748331
0
0
0
5
5
3.4
3.4
2.2
1.356466
0
3.4
[ { "feats": [ 0.10832443088293076, 0.06709132343530655, 0.3631008267402649, -0.3376043140888214, 2.734489917755127, 1.1362179517745972, 0.8271292448043823, 2.347539186477661, 1.2971748113632202, -0.05852474644780159, -3.3283748626708984, -0....
medium_noise
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0
3.4
3.4
6
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948
MSP-IMPROV-S08S-F01-P-MF01.wav
I guess I'll say, "Sorry to break it to you, but I'm going to have to cut your funding."Are you kidding?
neutral
0.323
8,168
0.204189
-0.25
0
1.2
1.019804
0.748331
0
0
0
5
5
3.4
3.4
2.2
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0
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[ { "feats": [ 0.016620580106973648, -0.0911761224269867, 0.17504502832889557, -0.003655882552266121, 0.820482075214386, 0.5290654301643372, 0.1510142832994461, 1.2672721147537231, 0.8415195345878601, -0.03913640230894089, -1.118949055671692, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
3.4
3.4
6
1
948
MSP-IMPROV-S08S-F01-P-MF01.wav
I guess I'll say, "Sorry to break it to you, but I'm going to have to cut your funding."Are you kidding?
neutral
0.323
8,168
0.204189
-0.25
0
1.2
1.019804
0.748331
0
0
0
5
5
3.4
3.4
2.2
1.356466
0
3.4
[ { "feats": [ 0.01282243151217699, -0.09025213122367859, 0.19253751635551453, -0.014668763615190983, 0.8355623483657837, 0.5252844095230103, 0.14869913458824158, 1.2706493139266968, 0.8507301807403564, -0.04038410633802414, -1.1270197629928589, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
3.4
3.4
6
1
948
MSP-IMPROV-S08S-F01-P-MF01.wav
I guess I'll say, "Sorry to break it to you, but I'm going to have to cut your funding."Are you kidding?
neutral
0.323
8,168
0.204189
-0.25
0
1.2
1.019804
0.748331
0
0
0
5
5
3.4
3.4
2.2
1.356466
0
3.4
[ { "feats": [ -0.01335400715470314, -0.1264224499464035, 0.23289483785629272, 0.05154575780034065, 0.9676026105880737, 0.6185776591300964, 0.19803674519062042, 1.4927263259887695, 0.9602250456809998, -0.03542761504650116, -1.2490692138671875, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2
4.8
2.714286
-2.5
948
MSP-IMPROV-S08S-F01-P-MF02.wav
Well, you're just not getting good data.
neutral
2.087
4,457
0.28074
-0.25
0
0.632456
0.4
0.894427
0
0
0
5
5
2
4.8
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3.6
[ { "feats": [ 0.013214734382927418, -0.11869451403617859, 0.06618042290210724, -0.05055989325046539, 0.8489655256271362, 0.4884388744831085, 0.10629376024007797, 1.4684698581695557, 0.8849065899848938, -0.14801977574825287, -1.08722722530365, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2
4.8
2.714286
-2.5
948
MSP-IMPROV-S08S-F01-P-MF02.wav
Well, you're just not getting good data.
neutral
2.087
4,457
0.28074
-0.25
0
0.632456
0.4
0.894427
0
0
0
5
5
2
4.8
2
1.019804
0
3.6
[ { "feats": [ 0.03157079592347145, -0.0873405784368515, 0.07139208912849426, -0.03319193795323372, 0.9066693186759949, 0.5326685905456543, 0.11279314756393433, 1.475758671760559, 0.8937421441078186, -0.1595531851053238, -1.2154104709625244, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2
4.8
2.714286
-2.5
948
MSP-IMPROV-S08S-F01-P-MF02.wav
Well, you're just not getting good data.
neutral
2.087
4,457
0.28074
-0.25
0
0.632456
0.4
0.894427
0
0
0
5
5
2
4.8
2
1.019804
0
3.6
[ { "feats": [ 0.020547406747937202, -0.12205275893211365, 0.07837850600481033, -0.07137057185173035, 0.8637872338294983, 0.46918985247612, 0.11747222393751144, 1.5038551092147827, 0.9151639938354492, -0.14087408781051636, -1.0252152681350708, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2
4.8
2.714286
-2.5
948
MSP-IMPROV-S08S-F01-P-MF02.wav
Well, you're just not getting good data.
neutral
2.087
4,457
0.28074
-0.25
0
0.632456
0.4
0.894427
0
0
0
5
5
2
4.8
2
1.019804
0
3.6
[ { "feats": [ 0.013886168599128723, -0.09590519964694977, 0.07939919084310532, -0.03697773814201355, 0.888948380947113, 0.5171117782592773, 0.11445829272270203, 1.4819711446762085, 0.89592444896698, -0.16137109696865082, -1.1645841598510742, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2
4.8
2.714286
-2.5
948
MSP-IMPROV-S08S-F01-P-MF02.wav
Well, you're just not getting good data.
neutral
2.087
4,457
0.28074
-0.25
0
0.632456
0.4
0.894427
0
0
0
5
5
2
4.8
2
1.019804
0
3.6
[ { "feats": [ 0.014610753394663334, -0.1136355996131897, 0.08037960529327393, -0.04640602692961693, 0.8619741201400757, 0.49149394035339355, 0.10516896098852158, 1.4603458642959595, 0.9030488729476929, -0.15932369232177734, -1.0680224895477295, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2
4.8
2.714286
-2.5
948
MSP-IMPROV-S08S-F01-P-MF02.wav
Well, you're just not getting good data.
neutral
2.087
4,457
0.28074
-0.25
0
0.632456
0.4
0.894427
0
0
0
5
5
2
4.8
2
1.019804
0
3.6
[ { "feats": [ 0.3599683344364166, -0.21495306491851807, 0.38450029492378235, -0.3082163631916046, 1.7223433256149292, 0.7946085929870605, 0.4128451645374298, 2.097604990005493, 1.2718180418014526, -0.12481005489826202, -1.781082034111023, 0....
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2
4.8
2.714286
-2.5
948
MSP-IMPROV-S08S-F01-P-MF02.wav
Well, you're just not getting good data.
neutral
2.087
4,457
0.28074
-0.25
0
0.632456
0.4
0.894427
0
0
0
5
5
2
4.8
2
1.019804
0
3.6
[ { "feats": [ 0.1869719922542572, 0.13532981276512146, 0.21646159887313843, -0.22062663733959198, 1.9293849468231201, 1.302969217300415, 0.7412941455841064, 2.3384063243865967, 1.1734780073165894, -0.058973509818315506, -2.2897326946258545, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2
4.8
2.714286
-2.5
948
MSP-IMPROV-S08S-F01-P-MF02.wav
Well, you're just not getting good data.
neutral
2.087
4,457
0.28074
-0.25
0
0.632456
0.4
0.894427
0
0
0
5
5
2
4.8
2
1.019804
0
3.6
[ { "feats": [ 0.012706222012639046, -0.11767030507326126, 0.06849448382854462, -0.049152959138154984, 0.8509846925735474, 0.4897688925266266, 0.10382639616727829, 1.4759502410888672, 0.8863601684570312, -0.15197192132472992, -1.0906200408935547, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2
4.8
2.714286
-2.5
948
MSP-IMPROV-S08S-F01-P-MF02.wav
Well, you're just not getting good data.
neutral
2.087
4,457
0.28074
-0.25
0
0.632456
0.4
0.894427
0
0
0
5
5
2
4.8
2
1.019804
0
3.6
[ { "feats": [ 0.014075186103582382, -0.12093666195869446, 0.06551282852888107, -0.05111566558480263, 0.8521425724029541, 0.4884870946407318, 0.10725679248571396, 1.470910668373108, 0.8868944048881531, -0.14402419328689575, -1.0866749286651611, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2
4.8
2.714286
-2.5
948
MSP-IMPROV-S08S-F01-P-MF02.wav
Well, you're just not getting good data.
neutral
2.087
4,457
0.28074
-0.25
0
0.632456
0.4
0.894427
0
0
0
5
5
2
4.8
2
1.019804
0
3.6
[ { "feats": [ 0.020369878038764, -0.07789669185876846, 0.06838387250900269, -0.0023512307088822126, 1.0020920038223267, 0.5544447898864746, 0.11245746910572052, 1.585760474205017, 0.9735192656517029, -0.1936708390712738, -1.234784722328186, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
4
2.142857
0
948
MSP-IMPROV-S08S-F01-S-FM01.wav
Did you read my latest report?I did. What did-
neutral
0.675
308
0.41065
-0.25
0
0
0.894427
1.356466
null
0
0
5
5
3
4
2.6
0
null
3
[ { "feats": [ -0.10214142501354218, -0.16318769752979279, 0.16680942475795746, -0.02067912183701992, 0.7507019639015198, 0.46420133113861084, 0.11696162819862366, 1.2249674797058105, 0.7587974071502686, 0.01738242246210575, -0.835494339466095, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
3
4
2.142857
0
948
MSP-IMPROV-S08S-F01-S-FM01.wav
Did you read my latest report?I did. What did-
neutral
0.675
308
0.41065
-0.25
0
0
0.894427
1.356466
null
0
0
5
5
3
4
2.6
0
null
3
[ { "feats": [ -0.07198691368103027, -0.16351096332073212, 0.15824328362941742, -0.0126514146104455, 0.7974411249160767, 0.5272912979125977, 0.15248596668243408, 1.2771371603012085, 0.7685497999191284, 0.019616790115833282, -0.8949088454246521, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
3
4
2.142857
0
948
MSP-IMPROV-S08S-F01-S-FM01.wav
Did you read my latest report?I did. What did-
neutral
0.675
308
0.41065
-0.25
0
0
0.894427
1.356466
null
0
0
5
5
3
4
2.6
0
null
3
[ { "feats": [ -0.1077495664358139, -0.19546496868133545, 0.19605544209480286, -0.06247689574956894, 0.7636713981628418, 0.4430660903453827, 0.11097486317157745, 1.227357268333435, 0.7702604532241821, 0.016635647043585777, -0.8001276850700378, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
3
4
2.142857
0
948
MSP-IMPROV-S08S-F01-S-FM01.wav
Did you read my latest report?I did. What did-
neutral
0.675
308
0.41065
-0.25
0
0
0.894427
1.356466
null
0
0
5
5
3
4
2.6
0
null
3
[ { "feats": [ -0.08121726661920547, -0.17533063888549805, 0.1752346158027649, -0.009991070255637169, 0.7846595048904419, 0.505463182926178, 0.14177097380161285, 1.2666257619857788, 0.7602565288543701, 0.01565730944275856, -0.8619114756584167, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
3
4
2.142857
0
948
MSP-IMPROV-S08S-F01-S-FM01.wav
Did you read my latest report?I did. What did-
neutral
0.675
308
0.41065
-0.25
0
0
0.894427
1.356466
null
0
0
5
5
3
4
2.6
0
null
3
[ { "feats": [ -0.10101840645074844, -0.1709098070859909, 0.18369656801223755, -0.0382615402340889, 0.7612777948379517, 0.45601895451545715, 0.11157094687223434, 1.2185193300247192, 0.7571752667427063, 0.028006410226225853, -0.8255119323730469, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
3
4
2.142857
0
948
MSP-IMPROV-S08S-F01-S-FM01.wav
Did you read my latest report?I did. What did-
neutral
0.675
308
0.41065
-0.25
0
0
0.894427
1.356466
null
0
0
5
5
3
4
2.6
0
null
3
[ { "feats": [ 0.06801898777484894, -0.22165992856025696, 0.22824212908744812, -0.2646888792514801, 1.5240206718444824, 0.6735875010490417, 0.17511199414730072, 1.6781716346740723, 1.0844242572784424, -0.09940284490585327, -1.7751288414001465, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
3
4
2.142857
0
948
MSP-IMPROV-S08S-F01-S-FM01.wav
Did you read my latest report?I did. What did-
neutral
0.675
308
0.41065
-0.25
0
0
0.894427
1.356466
null
0
0
5
5
3
4
2.6
0
null
3
[ { "feats": [ 0.2713153064250946, -0.1877307891845703, 0.289016991853714, -0.39676934480667114, 1.9715538024902344, 0.8658055067062378, 0.31618332862854004, 2.194094657897949, 1.366729974746704, 0.053681667894124985, -2.105041980743408, -0.0...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
3
4
2.142857
0
948
MSP-IMPROV-S08S-F01-S-FM01.wav
Did you read my latest report?I did. What did-
neutral
0.675
308
0.41065
-0.25
0
0
0.894427
1.356466
null
0
0
5
5
3
4
2.6
0
null
3
[ { "feats": [ -0.10010047256946564, -0.16741015017032623, 0.17009179294109344, -0.023095928132534027, 0.755684494972229, 0.4654863178730011, 0.1155327633023262, 1.2353118658065796, 0.7611592411994934, 0.018656855449080467, -0.8387491106987, ...
volume_down
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MSP-IMPROV-S08S-F01-S-FM01.wav
Did you read my latest report?I did. What did-
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MSP-IMPROV-S08S-F01-S-FM01.wav
Did you read my latest report?I did. What did-
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MSP-IMPROV-S08S-F01-S-FM02.wav
What do you mean? A preliminary study shows rats to be more inquisitive than previously thought.
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MSP-IMPROV-S08S-F01-S-FM02.wav
What do you mean? A preliminary study shows rats to be more inquisitive than previously thought.
sad
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MSP-IMPROV-S08S-F01-S-FM02.wav
What do you mean? A preliminary study shows rats to be more inquisitive than previously thought.
sad
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948
MSP-IMPROV-S08S-F01-S-FM02.wav
What do you mean? A preliminary study shows rats to be more inquisitive than previously thought.
sad
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948
MSP-IMPROV-S08S-F01-S-FM02.wav
What do you mean? A preliminary study shows rats to be more inquisitive than previously thought.
sad
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MSP-IMPROV-S08S-F01-S-FM02.wav
What do you mean? A preliminary study shows rats to be more inquisitive than previously thought.
sad
1.377
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MSP-IMPROV-S08S-F01-S-FM02.wav
What do you mean? A preliminary study shows rats to be more inquisitive than previously thought.
sad
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MSP-IMPROV-S08S-F01-S-FM02.wav
What do you mean? A preliminary study shows rats to be more inquisitive than previously thought.
sad
1.377
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948
MSP-IMPROV-S08S-F01-S-FM02.wav
What do you mean? A preliminary study shows rats to be more inquisitive than previously thought.
sad
1.377
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-0.25
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MSP-IMPROV-S08S-F01-S-FM02.wav
What do you mean? A preliminary study shows rats to be more inquisitive than previously thought.
sad
1.377
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MSP-IMPROV-S08S-F01-S-FM04.wav
You there.Oh, what am I going to do now?Say goodbye to your-
sad
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MSP-IMPROV-S08S-F01-S-FM04.wav
You there.Oh, what am I going to do now?Say goodbye to your-
sad
0.113
2,194
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MSP-IMPROV-S08S-F01-S-FM04.wav
You there.Oh, what am I going to do now?Say goodbye to your-
sad
0.113
2,194
0.316906
null
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0.489898
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MSP-IMPROV-S08S-F01-S-FM04.wav
You there.Oh, what am I going to do now?Say goodbye to your-
sad
0.113
2,194
0.316906
null
null
0.489898
1.019804
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MSP-IMPROV-S08S-F01-S-FM04.wav
You there.Oh, what am I going to do now?Say goodbye to your-
sad
0.113
2,194
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null
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0.489898
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MSP-IMPROV-S08S-F01-S-FM04.wav
You there.Oh, what am I going to do now?Say goodbye to your-
sad
0.113
2,194
0.316906
null
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1.019804
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MSP-IMPROV-S08S-F01-S-FM04.wav
You there.Oh, what am I going to do now?Say goodbye to your-
sad
0.113
2,194
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0.489898
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948
MSP-IMPROV-S08S-F01-S-FM04.wav
You there.Oh, what am I going to do now?Say goodbye to your-
sad
0.113
2,194
0.316906
null
null
0.489898
1.019804
0.4
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948
MSP-IMPROV-S08S-F01-S-FM04.wav
You there.Oh, what am I going to do now?Say goodbye to your-
sad
0.113
2,194
0.316906
null
null
0.489898
1.019804
0.4
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MSP-IMPROV-S08S-F01-S-FM04.wav
You there.Oh, what am I going to do now?Say goodbye to your-
sad
0.113
2,194
0.316906
null
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0.489898
1.019804
0.4
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948
MSP-IMPROV-S08S-F01-S-MF02.wav
Well, you're just not yielding good results.But-
neutral
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MSP-IMPROV-S08S-F01-S-MF02.wav
Well, you're just not yielding good results.But-
neutral
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MSP-IMPROV-S08S-F01-S-MF02.wav
Well, you're just not yielding good results.But-
neutral
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speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2
1.6
0.428571
-2.5
948
MSP-IMPROV-S08S-F01-S-MF02.wav
Well, you're just not yielding good results.But-
neutral
0.743
5,514
0.265104
-0.25
0
0.632456
0.489898
null
0
0
null
5
5
2
1.6
null
1.16619
0
2.8
[ { "feats": [ -0.043567802757024765, -0.1454884558916092, 0.06160354986786842, -0.07218161225318909, 0.9501614570617676, 0.48437580466270447, 0.06386929005384445, 1.421076774597168, 0.8438889384269714, -0.02544964849948883, -0.9262568354606628, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2
1.6
0.428571
-2.5
948
MSP-IMPROV-S08S-F01-S-MF02.wav
Well, you're just not yielding good results.But-
neutral
0.743
5,514
0.265104
-0.25
0
0.632456
0.489898
null
0
0
null
5
5
2
1.6
null
1.16619
0
2.8
[ { "feats": [ -0.05904700234532356, -0.1714772880077362, 0.08437960594892502, -0.06852097809314728, 0.9686611294746399, 0.4622604250907898, 0.05384991317987442, 1.466031789779663, 0.8539827466011047, 0.007724533788859844, -0.8938753008842468, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2
1.6
0.428571
-2.5
948
MSP-IMPROV-S08S-F01-S-MF02.wav
Well, you're just not yielding good results.But-
neutral
0.743
5,514
0.265104
-0.25
0
0.632456
0.489898
null
0
0
null
5
5
2
1.6
null
1.16619
0
2.8
[ { "feats": [ 0.15678174793720245, -0.2489793449640274, 0.18166986107826233, -0.2789149880409241, 1.4371087551116943, 0.5733946561813354, 0.2262892723083496, 1.710172176361084, 1.1076152324676514, 0.0035557833034545183, -1.4515405893325806, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2
1.6
0.428571
-2.5
948
MSP-IMPROV-S08S-F01-S-MF02.wav
Well, you're just not yielding good results.But-
neutral
0.743
5,514
0.265104
-0.25
0
0.632456
0.489898
null
0
0
null
5
5
2
1.6
null
1.16619
0
2.8
[ { "feats": [ 0.30646029114723206, -0.18916742503643036, 0.2465943992137909, -0.36447015404701233, 1.7435375452041626, 0.785741925239563, 0.4203956723213196, 2.0727953910827637, 1.2195295095443726, -0.11682087182998657, -1.6340211629867554, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2
1.6
0.428571
-2.5
948
MSP-IMPROV-S08S-F01-S-MF02.wav
Well, you're just not yielding good results.But-
neutral
0.743
5,514
0.265104
-0.25
0
0.632456
0.489898
null
0
0
null
5
5
2
1.6
null
1.16619
0
2.8
[ { "feats": [ -0.05147319659590721, -0.16509632766246796, 0.060749877244234085, -0.08129183202981949, 0.9215995073318481, 0.4728139340877533, 0.05744823440909386, 1.3964757919311523, 0.8463788628578186, 0.00624376256018877, -0.867529034614563, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2
1.6
0.428571
-2.5
948
MSP-IMPROV-S08S-F01-S-MF02.wav
Well, you're just not yielding good results.But-
neutral
0.743
5,514
0.265104
-0.25
0
0.632456
0.489898
null
0
0
null
5
5
2
1.6
null
1.16619
0
2.8
[ { "feats": [ -0.05110136792063713, -0.16874900460243225, 0.0590200237929821, -0.07971470803022385, 0.9192613959312439, 0.4678358733654022, 0.06079721450805664, 1.3922282457351685, 0.842688798904419, 0.006089733447879553, -0.8678145408630371, ...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2
1.6
0.428571
-2.5
948
MSP-IMPROV-S08S-F01-S-MF02.wav
Well, you're just not yielding good results.But-
neutral
0.743
5,514
0.265104
-0.25
0
0.632456
0.489898
null
0
0
null
5
5
2
1.6
null
1.16619
0
2.8
[ { "feats": [ -0.07023558020591736, -0.12491054832935333, 0.08550621569156647, -0.03773336485028267, 1.0221052169799805, 0.5215504765510559, 0.08751381933689117, 1.466296672821045, 0.883304238319397, -0.022807253524661064, -1.042389154434204, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.666667
3.5
1.785714
-0.833333
948
MSP-IMPROV-S08S-F01-S-MF03.wav
Is it good enough?It's not. You need to back that up with more data.
neutral
0.355555
1,264
0.343584
-0.2
0
0.471405
0.5
0.471405
0
0
0
6
6
2.666667
3.5
3.333333
0.372678
0
3.833333
[ { "feats": [ 0.11486431211233139, -0.08646543323993683, 0.2035566121339798, 0.016816867515444756, 0.8191328048706055, 0.545115053653717, 0.04686233028769493, 1.4305609464645386, 0.7228172421455383, -0.03371533006429672, -1.0321098566055298, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
0
2.666667
3.5
1.785714
-0.833333
948
MSP-IMPROV-S08S-F01-S-MF03.wav
Is it good enough?It's not. You need to back that up with more data.
neutral
0.355555
1,264
0.343584
-0.2
0
0.471405
0.5
0.471405
0
0
0
6
6
2.666667
3.5
3.333333
0.372678
0
3.833333
[ { "feats": [ 0.11831503361463547, -0.08542130142450333, 0.221096932888031, 0.0398855060338974, 0.8866349458694458, 0.5874518156051636, 0.06727728247642517, 1.4432923793792725, 0.7354329228401184, -0.04744404926896095, -1.1071382761001587, -...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
0
2.666667
3.5
1.785714
-0.833333
948
MSP-IMPROV-S08S-F01-S-MF03.wav
Is it good enough?It's not. You need to back that up with more data.
neutral
0.355555
1,264
0.343584
-0.2
0
0.471405
0.5
0.471405
0
0
0
6
6
2.666667
3.5
3.333333
0.372678
0
3.833333
[ { "feats": [ 0.1001545712351799, -0.053164076060056686, 0.19043143093585968, 0.003909735474735498, 0.8358126878738403, 0.5191388130187988, 0.04700643941760063, 1.4889616966247559, 0.7478357553482056, -0.04643299803137779, -0.9829573035240173, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
0
2.666667
3.5
1.785714
-0.833333
948
MSP-IMPROV-S08S-F01-S-MF03.wav
Is it good enough?It's not. You need to back that up with more data.
neutral
0.355555
1,264
0.343584
-0.2
0
0.471405
0.5
0.471405
0
0
0
6
6
2.666667
3.5
3.333333
0.372678
0
3.833333
[ { "feats": [ 0.10498283058404922, -0.07521455734968185, 0.2163321077823639, 0.041336022317409515, 0.8555384278297424, 0.5600252151489258, 0.04855099692940712, 1.4369584321975708, 0.7263476252555847, -0.034053970128297806, -1.0736197233200073, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
0
2.666667
3.5
1.785714
-0.833333
948
MSP-IMPROV-S08S-F01-S-MF03.wav
Is it good enough?It's not. You need to back that up with more data.
neutral
0.355555
1,264
0.343584
-0.2
0
0.471405
0.5
0.471405
0
0
0
6
6
2.666667
3.5
3.333333
0.372678
0
3.833333
[ { "feats": [ 0.09702993929386139, -0.05750034749507904, 0.1994198113679886, 0.016011342406272888, 0.8241512179374695, 0.52492356300354, 0.04373817518353462, 1.4515517950057983, 0.7278581261634827, -0.035924702882766724, -1.0039916038513184, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
0
2.666667
3.5
1.785714
-0.833333
948
MSP-IMPROV-S08S-F01-S-MF03.wav
Is it good enough?It's not. You need to back that up with more data.
neutral
0.355555
1,264
0.343584
-0.2
0
0.471405
0.5
0.471405
0
0
0
6
6
2.666667
3.5
3.333333
0.372678
0
3.833333
[ { "feats": [ 0.09077192097902298, -0.13518163561820984, 0.20845648646354675, -0.04421808198094368, 1.157694697380066, 0.6524274349212646, 0.1824912577867508, 1.8890162706375122, 0.9383753538131714, -0.03753355145454407, -1.403799057006836, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
0
2.666667
3.5
1.785714
-0.833333
948
MSP-IMPROV-S08S-F01-S-MF03.wav
Is it good enough?It's not. You need to back that up with more data.
neutral
0.355555
1,264
0.343584
-0.2
0
0.471405
0.5
0.471405
0
0
0
6
6
2.666667
3.5
3.333333
0.372678
0
3.833333
[ { "feats": [ 0.16063843667507172, -0.06057219207286835, 0.23248004913330078, -0.15978021919727325, 1.4583081007003784, 0.7177315950393677, 0.21605795621871948, 2.200859546661377, 1.1223539113998413, -0.11091677844524384, -1.633737564086914, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
0
2.666667
3.5
1.785714
-0.833333
948
MSP-IMPROV-S08S-F01-S-MF03.wav
Is it good enough?It's not. You need to back that up with more data.
neutral
0.355555
1,264
0.343584
-0.2
0
0.471405
0.5
0.471405
0
0
0
6
6
2.666667
3.5
3.333333
0.372678
0
3.833333
[ { "feats": [ 0.11484818160533905, -0.08432112634181976, 0.20634092390537262, 0.016999339684844017, 0.8193742632865906, 0.5455502867698669, 0.04579007998108864, 1.4320158958435059, 0.7245630025863647, -0.034870635718107224, -1.0318697690963745, ...
volume_down
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 0.8, "speed_factor": null }
0
2.666667
3.5
1.785714
-0.833333
948
MSP-IMPROV-S08S-F01-S-MF03.wav
Is it good enough?It's not. You need to back that up with more data.
neutral
0.355555
1,264
0.343584
-0.2
0
0.471405
0.5
0.471405
0
0
0
6
6
2.666667
3.5
3.333333
0.372678
0
3.833333
[ { "feats": [ 0.11470351368188858, -0.086972676217556, 0.20229358971118927, 0.017954638227820396, 0.8177430033683777, 0.544773519039154, 0.04733455926179886, 1.4290225505828857, 0.721872866153717, -0.03171275183558464, -1.032159447669983, -0...
volume_up
volume_scale
{ "cutoff_freq": null, "noise_level": null, "scale_factor": 1.2, "speed_factor": null }
0
2.666667
3.5
1.785714
-0.833333
948
MSP-IMPROV-S08S-F01-S-MF03.wav
Is it good enough?It's not. You need to back that up with more data.
neutral
0.355555
1,264
0.343584
-0.2
0
0.471405
0.5
0.471405
0
0
0
6
6
2.666667
3.5
3.333333
0.372678
0
3.833333
[ { "feats": [ 0.10630414634943008, -0.058897387236356735, 0.19500038027763367, 0.042867258191108704, 0.9058407545089722, 0.6013271808624268, 0.05379423126578331, 1.490545630455017, 0.7808109521865845, -0.03870106488466263, -1.1692509651184082, ...
low_pass
low_pass_filter
{ "cutoff_freq": 0.8, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.258065
3.096774
1.497696
-1.854838
948
MSP-IMPROV-S08S-F01-T-FM01.wav
A preliminary study shows rats to be more inquisitive than once thought
sad
0.648205
7,518
0.228772
-0.033333
0
0.716971
0.995306
null
0
0
null
31
31
2.258065
3.096774
2.846154
null
null
2.5
[ { "feats": [ 0.10588306188583374, -0.10936615616083145, 0.16393639147281647, -0.027428118512034416, 0.6942521333694458, 0.3424236476421356, -0.027441833168268204, 1.2166680097579956, 0.789317786693573, 0.0006983675993978977, -0.9056754112243652, ...
baseline
baseline
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": null }
2
2.258065
3.096774
1.497696
-1.854838
948
MSP-IMPROV-S08S-F01-T-FM01.wav
A preliminary study shows rats to be more inquisitive than once thought
sad
0.648205
7,518
0.228772
-0.033333
0
0.716971
0.995306
null
0
0
null
31
31
2.258065
3.096774
2.846154
null
null
2.5
[ { "feats": [ 0.1115022525191307, -0.08533535897731781, 0.16134163737297058, -0.01804697886109352, 0.6942469477653503, 0.37911033630371094, -0.010333523154258728, 1.16123366355896, 0.7657747864723206, -0.0069673252291977406, -0.9973855018615723, ...
speed_0.9
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.9 }
2
2.258065
3.096774
1.497696
-1.854838
948
MSP-IMPROV-S08S-F01-T-FM01.wav
A preliminary study shows rats to be more inquisitive than once thought
sad
0.648205
7,518
0.228772
-0.033333
0
0.716971
0.995306
null
0
0
null
31
31
2.258065
3.096774
2.846154
null
null
2.5
[ { "feats": [ 0.08404188603162766, -0.10455787926912308, 0.16467823088169098, -0.024201614782214165, 0.694500744342804, 0.30606570839881897, -0.03844362497329712, 1.2479196786880493, 0.7858726382255554, -0.029998894780874252, -0.8800111413002014, ...
speed_1.1
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.1 }
2
2.258065
3.096774
1.497696
-1.854838
948
MSP-IMPROV-S08S-F01-T-FM01.wav
A preliminary study shows rats to be more inquisitive than once thought
sad
0.648205
7,518
0.228772
-0.033333
0
0.716971
0.995306
null
0
0
null
31
31
2.258065
3.096774
2.846154
null
null
2.5
[ { "feats": [ 0.11710456013679504, -0.10709194093942642, 0.1723281443119049, -0.02056063339114189, 0.7101978659629822, 0.35737907886505127, -0.03259183093905449, 1.2236171960830688, 0.7891697287559509, -0.008934997953474522, -0.9557567834854126, ...
speed_0.95
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 0.95 }
2
2.258065
3.096774
1.497696
-1.854838
948
MSP-IMPROV-S08S-F01-T-FM01.wav
A preliminary study shows rats to be more inquisitive than once thought
sad
0.648205
7,518
0.228772
-0.033333
0
0.716971
0.995306
null
0
0
null
31
31
2.258065
3.096774
2.846154
null
null
2.5
[ { "feats": [ 0.0999077633023262, -0.11796122789382935, 0.1619320809841156, -0.027724118903279305, 0.6886844038963318, 0.3154287338256836, -0.04257810488343239, 1.2436156272888184, 0.7885182499885559, -0.01857011392712593, -0.8865059018135071, ...
speed_1.05
speed_perturbation
{ "cutoff_freq": null, "noise_level": null, "scale_factor": null, "speed_factor": 1.05 }
2
2.258065
3.096774
1.497696
-1.854838
948
MSP-IMPROV-S08S-F01-T-FM01.wav
A preliminary study shows rats to be more inquisitive than once thought
sad
0.648205
7,518
0.228772
-0.033333
0
0.716971
0.995306
null
0
0
null
31
31
2.258065
3.096774
2.846154
null
null
2.5
[ { "feats": [ 0.1634589284658432, -0.17525209486484528, 0.2749331295490265, -0.11371917277574539, 0.9841957688331604, 0.4122144877910614, -0.037643082439899445, 1.3780667781829834, 0.9548360109329224, -0.004622437059879303, -1.2882589101791382, ...
light_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.005, "scale_factor": null, "speed_factor": null }
2
2.258065
3.096774
1.497696
-1.854838
948
MSP-IMPROV-S08S-F01-T-FM01.wav
A preliminary study shows rats to be more inquisitive than once thought
sad
0.648205
7,518
0.228772
-0.033333
0
0.716971
0.995306
null
0
0
null
31
31
2.258065
3.096774
2.846154
null
null
2.5
[ { "feats": [ 0.22331176698207855, -0.18041029572486877, 0.3428892493247986, -0.13804638385772705, 1.3122074604034424, 0.5611492991447449, 0.0827365294098854, 1.675292730331421, 1.0992710590362549, 0.033927351236343384, -1.6023262739181519, ...
medium_noise
gaussian_noise
{ "cutoff_freq": null, "noise_level": 0.01, "scale_factor": null, "speed_factor": null }
2
2.258065
3.096774
1.497696
-1.854838
948
MSP-IMPROV-S08S-F01-T-FM01.wav
A preliminary study shows rats to be more inquisitive than once thought
sad
0.648205
7,518
0.228772
-0.033333
0
0.716971
0.995306
null
0
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