{"id":"https://openalex.org/W1993057965","doi":"https://doi.org/10.1109/ciss.2015.7086834","title":"Detection of speech tokens in noise using adaptive spectrotemporal receptive fields","display_name":"Detection of speech tokens in noise using adaptive spectrotemporal receptive fields","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W1993057965","doi":"https://doi.org/10.1109/ciss.2015.7086834","mag":"1993057965"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2015.7086834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2015.7086834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114142044","display_name":"Ashwin Bellur","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ashwin Bellur","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University","Department of Electrical and Computer Engineering, Johns Hopkins University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038788686","display_name":"Mounya Elhilali","orcid":"https://orcid.org/0000-0003-2597-738X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mounya Elhilali","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Johns Hopkins University","Department of Electrical and Computer Engineering, Johns Hopkins University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114142044"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.5744,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66307136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.694269061088562},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.6767212748527527},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.6518893837928772},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.6087825894355774},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6087816953659058},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5632838606834412},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5609052181243896},{"id":"https://openalex.org/keywords/auditory-cortex","display_name":"Auditory cortex","score":0.5551031827926636},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5454540848731995},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4603327214717865},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4299365282058716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2885751724243164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1904490888118744},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14075982570648193},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10039162635803223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.694269061088562},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.6767212748527527},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.6518893837928772},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.6087825894355774},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6087816953659058},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5632838606834412},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5609052181243896},{"id":"https://openalex.org/C2780297895","wikidata":"https://www.wikidata.org/wiki/Q18676","display_name":"Auditory cortex","level":2,"score":0.5551031827926636},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5454540848731995},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4603327214717865},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4299365282058716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2885751724243164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1904490888118744},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14075982570648193},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10039162635803223},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2015.7086834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2015.7086834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1537999046","https://openalex.org/W1541452272","https://openalex.org/W1965703402","https://openalex.org/W1974387177","https://openalex.org/W1994139191","https://openalex.org/W2001571181","https://openalex.org/W2008652561","https://openalex.org/W2026354811","https://openalex.org/W2054139811","https://openalex.org/W2088908955","https://openalex.org/W2105202507","https://openalex.org/W2118695645","https://openalex.org/W2135217244","https://openalex.org/W2158239695","https://openalex.org/W6649038040"],"related_works":["https://openalex.org/W2079003682","https://openalex.org/W2089544495","https://openalex.org/W1964918325","https://openalex.org/W2913266608","https://openalex.org/W2799648451","https://openalex.org/W1970258141","https://openalex.org/W2189496153","https://openalex.org/W2186491718","https://openalex.org/W1967435588","https://openalex.org/W110696070"],"abstract_inverted_index":{"Neurophysiological":[0],"studies":[1],"of":[2,8,14,48,68,76,88,99,109,112,118,124],"sound":[3,125],"encoding":[4],"at":[5],"the":[6,26,86,100,107,116],"level":[7],"auditory":[9],"cortex":[10],"paint":[11],"a":[12,74],"picture":[13],"an":[15,65],"intricate":[16],"filterbank":[17,102],"that":[18,38,84],"encodes":[19],"detailed":[20],"spectral":[21],"and":[22],"temporal":[23],"modulations":[24],"in":[25,43,64,103,121,127],"sensory":[27],"input.":[28],"Furthermore,":[29],"these":[30],"filters":[31,80],"exhibit":[32],"adaptive":[33],"qualities":[34],"called":[35],"neural":[36],"plasticity":[37],"shape":[39],"their":[40],"tuning":[41],"parameters":[42,98],"line":[44],"with":[45],"behavioral":[46],"goals":[47],"interest.":[49,113],"In":[50],"this":[51,59,119],"work,":[52],"we":[53,72],"explore":[54],"qualitative":[55],"principles":[56],"about":[57],"how":[58],"neuronal":[60],"reshaping":[61],"can":[62],"aid":[63],"enhanced":[66],"representation":[67,108,123],"target":[69,110],"sounds.":[70],"Here,":[71],"employ":[73],"set":[75],"parameterized":[77],"two-dimensional":[78],"Gabor":[79,101],"as":[81],"basis":[82],"functions":[83],"tile":[85],"space":[87],"neurophysiological":[89],"spectrotemporal":[90],"modulations.":[91],"We":[92,114],"examine":[93],"mechanisms":[94],"for":[95],"judiciously":[96],"retuning":[97],"order":[104],"to":[105],"enhance":[106],"sounds":[111],"test":[115],"efficacy":[117],"scheme":[120],"enhancing":[122],"tokens":[126],"adverse":[128],"noisy":[129],"backgrounds.":[130]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
