{"id":"https://openalex.org/W139187302","doi":"https://doi.org/10.21437/interspeech.2010-28","title":"Decision tree state clustering with word and syllable features","display_name":"Decision tree state clustering with word and syllable features","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W139187302","doi":"https://doi.org/10.21437/interspeech.2010-28","mag":"139187302"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-28","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-28","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","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/A5110698977","display_name":"Hank Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hank Liao","raw_affiliation_strings":["Google (United States), Mountain View, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google (United States), Mountain View, United States","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065685274","display_name":"Chris Alberti","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Alberti","raw_affiliation_strings":["Google (United States), Mountain View, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google (United States), Mountain View, United States","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049614700","display_name":"Michiel Bacchiani","orcid":"https://orcid.org/0000-0003-4527-0197"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michiel Bacchiani","raw_affiliation_strings":["Google (United States), Mountain View, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google (United States), Mountain View, United States","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005881531","display_name":"Olivier Siohan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olivier Siohan","raw_affiliation_strings":["Google\u2020#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google\u2020#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2958","last_page":"2961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994000196456909,"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/T11309","display_name":"Music and Audio Processing","score":0.9973999857902527,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7842822670936584},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7502331733703613},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6740297079086304},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6235118508338928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5985819101333618},{"id":"https://openalex.org/keywords/syllable","display_name":"Syllable","score":0.5814892053604126},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5359400510787964},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5310699343681335},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5054805278778076},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4921790659427643},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.4624040722846985},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45063725113868713},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42202723026275635},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.41395506262779236},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41038310527801514},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1694350242614746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7842822670936584},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7502331733703613},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6740297079086304},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6235118508338928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5985819101333618},{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.5814892053604126},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5359400510787964},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5310699343681335},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5054805278778076},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4921790659427643},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.4624040722846985},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45063725113868713},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42202723026275635},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.41395506262779236},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41038310527801514},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1694350242614746},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2010-28","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-28","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W143425341","https://openalex.org/W198801378","https://openalex.org/W1948894153","https://openalex.org/W1971500911","https://openalex.org/W2080209778","https://openalex.org/W2096466030","https://openalex.org/W2129684582"],"related_works":["https://openalex.org/W2153098279","https://openalex.org/W2061937230","https://openalex.org/W4245698648","https://openalex.org/W2405257913","https://openalex.org/W2132658536","https://openalex.org/W3133710586","https://openalex.org/W2125964738","https://openalex.org/W2098529290","https://openalex.org/W2026402306","https://openalex.org/W2189081180"],"abstract_inverted_index":{"In":[0,15],"large":[1,99],"vocabulary":[2,100],"continuous":[3,101],"speech":[4,102],"recognition,":[5,103],"decision":[6,51],"trees":[7],"are":[8,68],"widely":[9],"used":[10,19],"to":[11,17],"cluster":[12],"triphone":[13],"states.":[14],"addition":[16],"commonly":[18],"phonetically":[20],"based":[21],"questions,":[22],"others":[23],"have":[24],"proposed":[25],"additional":[26],"questions":[27],"such":[28],"as":[29,46],"phone":[30],"position":[31],"within":[32],"word":[33,41],"or":[34,42,60],"syllable.":[35],"This":[36],"paper":[37],"examines":[38],"using":[39],"the":[40,50,64],"syllable":[43],"context":[44],"itself":[45],"a":[47,77],"feature":[48],"in":[49],"tree,":[52],"providing":[53],"an":[54],"elegant":[55],"way":[56],"of":[57,85],"introducing":[58],"word-":[59],"syllable-specific":[61],"models":[62],"into":[63],"system.":[65],"Positive":[66],"results":[67],"reported":[69],"on":[70],"two":[71],"state-of-the-art":[72],"systems:":[73],"voicemail":[74],"transcription":[75],"and":[76,88],"search":[78],"by":[79],"voice":[80],"tasks":[81],"across":[82],"av":[83],"ariety":[84],"acoustic":[86],"model":[87],"training":[89],"set":[90],"sizes.":[91],"Index":[92],"Terms":[93],":d":[94],"ecision":[95],"tree":[96],"state":[97],"clustering,":[98],"tagged":[104],"clustering.":[105]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
