Fairness pitch

Overall scores

w2v2-L

hubert-L

wavlm

data2vec

Overall Score

100.0% passed tests (15 passed / 0 failed).

100.0% passed tests (15 passed / 0 failed).

93.3% passed tests (14 passed / 1 failed).

100.0% passed tests (15 passed / 0 failed).

Concordance Correlation Coeff High Pitch

CCC high pitch - CCC combined.

Threshold: 0.1

Data

Concordance Correlation Coeff High Pitch

w2v2-L

hubert-L

wavlm

data2vec

msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard

-0.01

0.03

0.06

0.03

mean

-0.01

0.03

0.06

0.03

Concordance Correlation Coeff Low Pitch

CCC low pitch - CCC combined.

Threshold: 0.1

Data

Concordance Correlation Coeff Low Pitch

w2v2-L

hubert-L

wavlm

data2vec

msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard

0.06

0.01

-0.02

0.01

mean

0.06

0.01

-0.02

0.01

Concordance Correlation Coeff Medium Pitch

CCC medium pitch - CCC combined.

Threshold: 0.1

Data

Concordance Correlation Coeff Medium Pitch

w2v2-L

hubert-L

wavlm

data2vec

msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard

-0.05

-0.05

-0.04

-0.04

mean

-0.05

-0.05

-0.04

-0.04

Precision Per Bin High Pitch

Precision per bin high pitch - precision per bin combined. Bins with too few samples are skipped.

Threshold: 0.125

Data

(-inf, 0.25]

(0.25, 0.5]

(0.5, 0.75]

(0.75, inf]

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard

-0.01

0.02

0.04

0.04

-0.01

0.01

0.03

0.00

mean

-0.01

0.02

0.04

0.04

-0.01

0.01

0.03

0.00

Precision Per Bin Low Pitch

Precision per bin low pitch - precision per bin combined. Bins with too few samples are skipped.

Threshold: 0.125

Data

(-inf, 0.25]

(0.25, 0.5]

(0.5, 0.75]

(0.75, inf]

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard

-0.04

-0.05

-0.07

-0.07

0.04

0.02

0.01

0.04

mean

-0.04

-0.05

-0.07

-0.07

0.04

0.02

0.01

0.04

Precision Per Bin Medium Pitch

Precision per bin medium pitch - precision per bin combined. Bins with too few samples are skipped.

Threshold: 0.125

Data

(-inf, 0.25]

(0.25, 0.5]

(0.5, 0.75]

(0.75, inf]

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard

0.06

0.04

0.04

0.04

-0.03

-0.02

-0.04

-0.03

mean

0.06

0.04

0.04

0.04

-0.03

-0.02

-0.04

-0.03

Recall Per Bin High Pitch

Recall per bin high pitch - recall per bin combined. Bins with too few samples are skipped.

Threshold: 0.125

Data

(-inf, 0.25]

(0.25, 0.5]

(0.5, 0.75]

(0.75, inf]

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard

-0.05

-0.01

-0.00

-0.04

0.02

0.06

0.11

0.08

mean

-0.05

-0.01

0.00

-0.04

0.02

0.06

0.11

0.08

Recall Per Bin Low Pitch

Recall per bin low pitch - recall per bin combined. Bins with too few samples are skipped.

Threshold: 0.125

Data

(-inf, 0.25]

(0.25, 0.5]

(0.5, 0.75]

(0.75, inf]

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard

0.06

0.03

0.03

0.05

-0.03

-0.08

-0.14

-0.09

mean

0.06

0.03

0.03

0.05

-0.03

-0.08

-0.14

-0.09

Recall Per Bin Medium Pitch

Recall per bin medium pitch - recall per bin combined. Bins with too few samples are skipped.

Threshold: 0.125

Data

(-inf, 0.25]

(0.25, 0.5]

(0.5, 0.75]

(0.75, inf]

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

w2v2-L

hubert-L

wavlm

data2vec

msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard

-0.01

-0.01

-0.02

-0.01

0.01

0.02

0.03

0.01

mean

-0.01

-0.01

-0.02

-0.01

0.01

0.02

0.03

0.01

Visualization

w2v2-L

hubert-L

wavlm

data2vec

../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_high4.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_high8.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_high9.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_high10.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_low4.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_low8.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_low9.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_low10.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_medium4.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_medium8.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_medium9.png
../../../_images/visualization_msppodcast-2.6.1-emotion.dimensions.test-1.gold_standard_medium10.png