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The study tests the approach on false killer whale (Pseudorca crassidens) acoustic data from the North Pacific Ocean. A minimum-data requirement derived from sensitivity analyses, combined with filters based on species-specific acoustic characteristics, defines objective criteria for excluding acoustic events before classification. This framework is a practical tool for systematic, dataset-specific quality control to support the acoustic classification workflow and, ultimately, cetacean population assessment and conservation efforts.<\/jats:p>","DOI":"10.1121\/10.0046774","type":"journal-article","created":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T12:56:16Z","timestamp":1790945776000},"update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":0,"title":["From signals to species: Improving acoustic classification reliability for North Pacific false killer whales"],"prefix":"10.1121","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4251-474X","authenticated-orcid":false,"given":"Y. 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