# Respiratory sound 4-class classification on ICBHI 2017 (80/20 random split) Source: [Respiratory sound 4-class classification on ICBHI 2017 (80/20 random split)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:04:39.036Z Evaluation of 4-class respiratory sound classification performance on the ICBHI 2017 dataset using an 80/20 random split, reporting metrics such as Specificity (Sp), Sensitivity (Se), and overall Score. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Respiratory sound 4-class classification | | Dataset (including any stated split) | ICBHI 2017 (80/20 random split) | | Metric | Specificity | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 6 of 6 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Specificity](): Higher is better; unit: PERCENT. - [Sensitivity](): Higher is better; unit: PERCENT. - [Overall Score](): Higher is better; unit: PERCENT. ## Recorded results | Method | Specificity | Result date | Report paper | | --- | --- | --- | --- | | Acharya et al. | 84.1 | Not recorded | 68fa69e41e209131cea249dc | | RespireNet (CNN+CBA+BRC+FT) | 83.3 | Not recorded | 68fa69e41e209131cea249dc | | RespireNet (CNN+CBA+BRC) | 79.7 | Not recorded | 68fa69e41e209131cea249dc | | RespireNet (CNN base) | 78.8 | Not recorded | 68fa69e41e209131cea249dc | | Kochetov et al. | 73 | Not recorded | 68fa69e41e209131cea249dc | | Ma et al. \[12\] | 64.7 | Not recorded | 68fa69e41e209131cea249dc | ### Acharya et al. Specificity: 84.1. Result ID: 698def1cffc3901de099a47b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### RespireNet (CNN+CBA+BRC+FT) Specificity: 83.3. Result ID: 698def1cffc3901de099a47f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"architecture":"CNN","augmentation":"Concatenation-based augmentation","clipping":"Blank region clipping","fine-tuning":"device specific"}. This record does not assert independent reproduction. ### RespireNet (CNN+CBA+BRC) Specificity: 79.7. Result ID: 698def1cffc3901de099a47e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"architecture":"CNN","augmentation":"Concatenation-based augmentation","clipping":"Blank region clipping"}. This record does not assert independent reproduction. ### RespireNet (CNN base) Specificity: 78.8. Result ID: 698def1cffc3901de099a47d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"architecture":"CNN"}. This record does not assert independent reproduction. ### Kochetov et al. Specificity: 73. Result ID: 698def1cffc3901de099a47a. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Ma et al. \[12\] Specificity: 64.7. Result ID: 698def1cffc3901de099a47c. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.