ICBHI
A publicly available dataset and evaluation benchmark commonly used in the field of respiratory sound classification, employed to evaluate algorithms for respiratory sound anomaly detection and classification.
Timeline (last 90 days)
The researchers constructed standardized device-incremental and time-incremental benchmarks on the ICBHI and SPRSound datasets, covering both forward and reverse domain orders.
APRIL's final-session average scores on the ICBHI dataset were 64.4% for forward and 65.4% for reverse.
All Facts (2)
The researchers constructed standardized device-incremental and time-incremental benchmarks on the ICBHI and SPRSound datasets, covering both forward and reverse domain orders.
50%UnverifiedAPRIL's final-session average scores on the ICBHI dataset were 64.4% for forward and 65.4% for reverse.
50%