CNN14-cat

74.8% passed tests (460 passed / 155 failed).

Tests overview

Topic	Passed Tests
Correctness classification	38.0%
Correctness distribution	52.5%
Correctness speaker average	41.7%
Correctness speaker ranking	37.5%
Fairness accent	96.0%
Fairness language	100.0%
Fairness linguistic sentiment	97.9%
Fairness pitch	100.0%
Fairness sex	100.0%
Robustness background noise	56.7%
Robustness low quality phone	90.0%
Robustness recording condition	0.0%
Robustness simulated recording condition	0.0%
Robustness small changes	74.0%
Robustness spectral tilt	65.0%

Model parameters

Entry	Value
data	{‘train’: {‘msppodcast’: {‘version’: ‘2.6.0’, ‘table’: ‘emotion.categories.train.gold_standard’}}, ‘dev’: {‘msppodcast’: {‘version’: ‘2.6.0’, ‘table’: ‘emotion.categories.dev.gold_standard’}}}
model	cnn14
sampling_rate	16000
features	LogMel64
softmax	True
quantization	False

Model information

Entry	Value
Author	aderington
Date	2023-04-14
Name	onnx
Subgroup	ser.basic4.audpann.cnn14
Version	1.0.1
Min_length	500
Batch_size	16
Learning_rate	0.001
Best_epoch	34
Seed	3
Sample	{‘emodb’: {‘version’: ‘1.1.1’, ‘flavor’: {‘bit_depth’: None, ‘channels’: None, ‘format’: ‘wav’, ‘mixdown’: True, ‘sampling_rate’: 16000}, ‘data’: {‘wav/03a01Fa.wav’: [[0.8074951171875, 0.03554034233093262, 0.14863066375255585, 0.008333970792591572]], ‘wav/08a01Ab.wav’: [[0.5907111167907715, 0.15763787925243378, 0.15374456346035004, 0.0979064479470253]]}}}
Model_ids	{‘torch’: ‘97aa2de2-1.0.1’, ‘onnx_quant’: ‘1ce05bad-1.0.1’}