RicherMans / HEAR_CED

Hear evaluation for CED models.

HEAR_CED

Hear evaluation for CED models.

Validate

First install hear-validator

pip3 install hearvalidator

hear-validator hear_ced.ced_tiny
hear-validator hear_ced.ced_mini
hear-validator hear_ced.ced_small
hear-validator hear_ced.ced_base

Evaluate

Install heareval and extract the embeddings.

pip3 install heareval
python3 -m heareval.embeddings.runner hear_ced.ced_mini  --tasks-dir <path to tasks>
python3 -m heareval.predictions.runner embeddings/hear_ced.ced_mini/*

Results

Model	Beehive States Avg	Beijing Opera Percussion	CREMA-D	DCASE16	ESC-50	FSD50K	GTZAN Genre	GTZAN Music Speech	Gunshot Triangulation	LibriCount	MAESTRO 5hr	Mridangam Stroke	Mridangam Tonic	NSynth Pitch 50hr	NSynth Pitch 5hr	Speech Commands 5hr	Speech Commands Full	Vocal Imitations	VoxLingua107 Top10
ced-tiny	38.345	94.90	62.52	88.02	95.80	62.73	89.20	93.01	91.67	61.26	4.81	96.13	90.74	69.19	44.00	70.53	77.10	19.18	33.64
ced-mini	59.17	96.18	65.26	90.66	95.35	63.88	90.30	94.49	86.01	64.02	8.29	96.56	93.32	75.20	55.60	77.38	81.96	20.37	34.67
ced-small	51.70	96.60	66.64	91.63	95.95	64.33	89.50	91.22	93.45	65.59	10.96	96.82	93.94	79.95	60.20	80.92	85.19	21.92	36.53
ced-base	48.35	96.60	69.10	92.19	96.65	65.48	88.60	94.36	89.29	67.85	14.76	97.43	96.55	82.81	68.20	86.93	89.67	22.69	38.57