{"id":"https://openalex.org/W2405312069","doi":"https://doi.org/10.21437/interspeech.2015-418","title":"Consonant recognition with continuous-state hidden Markov models and perceptually-motivated features","display_name":"Consonant recognition with continuous-state hidden Markov models and perceptually-motivated features","publication_year":2015,"publication_date":"2015-09-06","ids":{"openalex":"https://openalex.org/W2405312069","doi":"https://doi.org/10.21437/interspeech.2015-418","mag":"2405312069"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2015-418","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102937478","display_name":"Philip Weber","orcid":"https://orcid.org/0000-0002-3121-9625"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philip Weber","raw_affiliation_strings":["Electronic, Electrical and Systems Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic, Electrical and Systems Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035479224","display_name":"Colin J. Champion","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Colin J. Champion","raw_affiliation_strings":["Electronic, Electrical and Systems Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic, Electrical and Systems Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103544494","display_name":"Simon Houghton","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. M. Houghton","raw_affiliation_strings":["Electronic, Electrical and Systems Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic, Electrical and Systems Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031388449","display_name":"Peter Jan\u010dovi\u010d","orcid":"https://orcid.org/0000-0002-8897-1762"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Jan\u010dovi\u010d","raw_affiliation_strings":["Electronic, Electrical and Systems Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic, Electrical and Systems Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079477816","display_name":"Martin Russell","orcid":"https://orcid.org/0000-0002-8324-4961"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Russell","raw_affiliation_strings":["Electronic, Electrical and Systems Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic, Electrical and Systems Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4856,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62302571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1893","last_page":"1897"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10403","display_name":"Phonetics and Phonology Research","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.821373701095581},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.8018373250961304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7047345638275146},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.611922025680542},{"id":"https://openalex.org/keywords/speech-perception","display_name":"Speech perception","score":0.5189342498779297},{"id":"https://openalex.org/keywords/consonant","display_name":"Consonant","score":0.49541032314300537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47285225987434387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46586087346076965},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.43711215257644653},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09652471542358398}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.821373701095581},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.8018373250961304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047345638275146},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.611922025680542},{"id":"https://openalex.org/C99209842","wikidata":"https://www.wikidata.org/wiki/Q643696","display_name":"Speech perception","level":3,"score":0.5189342498779297},{"id":"https://openalex.org/C2778203577","wikidata":"https://www.wikidata.org/wiki/Q38035","display_name":"Consonant","level":3,"score":0.49541032314300537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47285225987434387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46586087346076965},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.43711215257644653},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09652471542358398},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2015-418","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2015-418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2015","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/26fbf853-24b2-4774-9624-e71d5819cc25","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/26fbf853-24b2-4774-9624-e71d5819cc25","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Weber, P, Champion, C, Houghton, S, Jancovic, P & Russell, M 2015, 'Consonant Recognition with Continuous-State Hidden Markov Models and Perceptually-Motivated Features', Paper presented at Interspeech 2015, Dresden, Germany, 6/09/15 - 10/09/15 pp. 1893-1897. https://doi.org/10.21437/Interspeech.2015-418","raw_type":"conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.49000000953674316,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W227955348","https://openalex.org/W943204654","https://openalex.org/W1512581325","https://openalex.org/W1980076831","https://openalex.org/W1980399492","https://openalex.org/W1990512452","https://openalex.org/W1998523266","https://openalex.org/W2000100543","https://openalex.org/W2008806652","https://openalex.org/W2018390804","https://openalex.org/W2026862302","https://openalex.org/W2032625358","https://openalex.org/W2037976268","https://openalex.org/W2059450962","https://openalex.org/W2062125287","https://openalex.org/W2072523022","https://openalex.org/W2078279533","https://openalex.org/W2111551391","https://openalex.org/W2133129980","https://openalex.org/W2148154194","https://openalex.org/W2402340204","https://openalex.org/W2485688913","https://openalex.org/W2619993508","https://openalex.org/W3127686677"],"related_works":["https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W1987783679","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W4253235840","https://openalex.org/W3151937861","https://openalex.org/W2946406692"],"abstract_inverted_index":{"Research":[0],"into":[1],"human":[2,86,106],"perception":[3,87],"of":[4,19,44,57,98,105,139,150],"consonants":[5,59],"has":[6,12],"identified":[7],"phoneme-specific":[8],"perceptual":[9,50],"cues.":[10,51],"It":[11],"also":[13,88],"been":[14],"shown":[15],"that":[16,82],"the":[17,20,29,42,99,131],"characteristics":[18,97],"speech":[21,31,107],"signal":[22],"most":[23],"useful":[24],"for":[25,85,91,148],"recognition":[26,149],"depend":[27],"on":[28],"specific":[30],"sound.":[32],"Typical":[33],"ASR":[34],"features":[35,63,83,142],"and":[36,55,67],"recognisers":[37],"however":[38],"neither":[39],"vary":[40],"with":[41,123,145],"type":[43],"sound":[45],"nor":[46],"relate":[47,102],"directly":[48],"to":[49,103,119,136],"We":[52,94,126],"investigate":[53],"classification":[54,76],"decoding":[56],"non-sonorant":[58],"using":[60,78,111],"basic":[61],"perceptually-motivated":[62],"\u2014":[64],"phoneme":[65],"durations":[66],"energy":[68],"in":[69],"a":[70,112,120,134],"few":[71],"broad":[72],"spectral":[73],"bands.":[74],"Our":[75],"results":[77,110],"simple":[79],"classifiers":[80],"suggest":[81],"optimal":[84],"perform":[89],"best":[90],"machine":[92],"classification.":[93],"show":[95,116],"how":[96,130],"models":[100,147],"learned":[101],"knowledge":[104],"perception.":[108],"Recognition":[109],"continuous-state":[113],"HMM":[114,122],"(CSHMM)":[115],"accuracy":[117],"similar":[118,124,146],"discrete-state":[121],"assumptions.":[125],"conclude":[127],"by":[128,143],"outlining":[129],"CSHMM":[132],"provides":[133],"mechanism":[135],"make":[137],"use":[138],"other":[140],"perceptually-important":[141],"integration":[144],"voiced":[151],"sounds.":[152]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}