{"id":"https://openalex.org/W7164825857","doi":"https://doi.org/10.48550/arxiv.2606.14662","title":"Beyond task performance: Decoding bioacoustic embeddings with speech features","display_name":"Beyond task performance: Decoding bioacoustic embeddings with speech features","publication_year":2026,"publication_date":"2026-06-12","ids":{"openalex":"https://openalex.org/W7164825857","doi":"https://doi.org/10.48550/arxiv.2606.14662"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.14662","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14662","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.14662","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138648841","display_name":"Ines Nolasco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nolasco, Ines","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093774553","display_name":"Jules Cauzinille","orcid":"https://orcid.org/0000-0002-8604-1801"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cauzinille, Jules","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138685179","display_name":"Marius Miron","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miron, Marius","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132544896","display_name":"Gagan Narula","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Narula, Gagan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138644481","display_name":"Milad Alizadeh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alizadeh, Milad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126027150","display_name":"Emmanuel Fernandez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fernandez, Emmanuel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138652157","display_name":"Matthieu Geist","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geist, Matthieu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134145338","display_name":"Ellen Gilsenan-McMahon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gilsenan-McMahon, Ellen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138661167","display_name":"Olivier Pietquin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pietquin, Olivier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138647206","display_name":"Emmanuel Chemla","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chemla, Emmanuel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134099634","display_name":"Sara Keen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keen, Sara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10332","display_name":"Amphibian and Reptile Biology","score":0.0034000000450760126,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10659","display_name":"Marine animal studies overview","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bioacoustics","display_name":"Bioacoustics","score":0.6972000002861023},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5422000288963318},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.503600001335144},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.47920000553131104},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.4771000146865845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4632999897003174},{"id":"https://openalex.org/keywords/loudness","display_name":"Loudness","score":0.4433000087738037},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4278999865055084},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41269999742507935}],"concepts":[{"id":"https://openalex.org/C34951282","wikidata":"https://www.wikidata.org/wiki/Q864191","display_name":"Bioacoustics","level":2,"score":0.6972000002861023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6061999797821045},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5968999862670898},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5422000288963318},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.503600001335144},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.4771000146865845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4666000008583069},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C79018884","wikidata":"https://www.wikidata.org/wiki/Q622324","display_name":"Loudness","level":2,"score":0.4433000087738037},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4278999865055084},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.34459999203681946},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.14662","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14662","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.14662","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.14662","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5277926921844482}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Pretrained":[0],"audio":[1],"embeddings":[2],"are":[3,20,44,103],"standard":[4],"in":[5,46],"bioacoustics,":[6],"yet":[7],"little":[8],"is":[9,111],"known":[10],"about":[11],"which":[12,19,41,66],"acoustic":[13,67,96],"features":[14,43,52,102],"these":[15],"models":[16],"encode,":[17],"nor":[18],"useful":[21],"for":[22,132],"a":[23,74],"given":[24],"task.":[25],"This":[26],"hinders":[27],"transparency":[28],"and":[29,60],"limits":[30],"extension":[31],"to":[32,64,113],"rare":[33],"species":[34],"or":[35],"data-scarce":[36],"domains.":[37],"Here":[38],"we":[39,57,126],"reveal":[40],"speech-like":[42],"encoded":[45,105],"bioacoustic":[47],"representations.":[48],"Using":[49],"the":[50,83,91],"88~eGeMAPS":[51],"across":[53,99],"six":[54],"taxonomic":[55],"groups,":[56],"apply":[58],"linear":[59],"nonlinear":[61],"regression":[62],"probes":[63],"quantify":[65],"properties":[68],"each":[69],"model":[70,81,129],"captures.":[71],"Results":[72],"confirm":[73],"``no":[75],"free":[76],"lunch''":[77],"pattern:":[78],"no":[79],"single":[80],"captures":[82],"full":[84],"feature":[85,123],"space.":[86],"A":[87],"concatenated":[88],"embedding":[89],"achieves":[90],"highest":[92],"performance,":[93],"suggesting":[94],"complementary":[95],"space":[97],"coverage":[98],"models.":[100],"Loudness":[101],"best":[104],"($R^2":[106,115],"=":[107,116],"0.76$)":[108],"while":[109],"F0":[110],"hardest":[112],"recover":[114],"0.33$).":[117],"By":[118],"cross-referencing":[119],"recoverability":[120],"with":[121],"per-species":[122],"salience":[124],"(NMI),":[125],"derive":[127],"data-driven":[128],"selection":[130],"guidance":[131],"bioacoustics.":[133]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-16T00:00:00"}