{"id":"https://openalex.org/W1543998591","doi":"https://doi.org/10.21437/eurospeech.1995-145","title":"A one-pass search algorithm for understanding natural spoken time utterances by stochastic models","display_name":"A one-pass search algorithm for understanding natural spoken time utterances by stochastic models","publication_year":1995,"publication_date":"1995-09-18","ids":{"openalex":"https://openalex.org/W1543998591","doi":"https://doi.org/10.21437/eurospeech.1995-145","mag":"1543998591"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1995-145","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1995-145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th European Conference on Speech Communication and Technology (Eurospeech 1995)","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/A5103772544","display_name":"Josef G. Bauer","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Josef G. Bauer","raw_affiliation_strings":["Siemens"],"affiliations":[{"raw_affiliation_string":"Siemens","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004512186","display_name":"H. Stahl","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Holger Stahl","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060996213","display_name":"Johannes M\u00fcller","orcid":"https://orcid.org/0000-0001-5892-8598"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes M\u00fcller","raw_affiliation_strings":["Technical University of Munich"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103772544"],"corresponding_institution_ids":["https://openalex.org/I1325886976"],"apc_list":null,"apc_paid":null,"fwci":2.9402,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.906311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"567","last_page":"570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9976000189781189,"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":0.9976000189781189,"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/T10320","display_name":"Neural Networks and Applications","score":0.9878000020980835,"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/T10860","display_name":"Speech and Audio Processing","score":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8201664686203003},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6100807785987854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6046392321586609},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.6008819937705994},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4830254018306732},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4563809037208557},{"id":"https://openalex.org/keywords/semantic-compression","display_name":"Semantic compression","score":0.4537319540977478},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.441896915435791},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.43478304147720337},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.42321357131004333},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4145687520503998},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3738555312156677},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37356090545654297},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.35959187150001526},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.3337338864803314},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.21586140990257263},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.15402749180793762}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8201664686203003},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6100807785987854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6046392321586609},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.6008819937705994},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4830254018306732},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4563809037208557},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.4537319540977478},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.441896915435791},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.43478304147720337},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.42321357131004333},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4145687520503998},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3738555312156677},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37356090545654297},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.35959187150001526},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.3337338864803314},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.21586140990257263},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.15402749180793762},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.1995-145","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1995-145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"4th European Conference on Speech Communication and Technology (Eurospeech 1995)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.47.715","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mmk.e-technik.tu-muenchen.de/pb/ps/95bau1.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W185024526","https://openalex.org/W1547416962","https://openalex.org/W2002089154","https://openalex.org/W2017427968","https://openalex.org/W2098457679","https://openalex.org/W2144789800","https://openalex.org/W2749487406"],"related_works":["https://openalex.org/W2018066836","https://openalex.org/W2365852568","https://openalex.org/W1589762743","https://openalex.org/W2350619850","https://openalex.org/W2382028126","https://openalex.org/W4293689960","https://openalex.org/W3133755372","https://openalex.org/W2174630793","https://openalex.org/W2947102492","https://openalex.org/W2156467700"],"abstract_inverted_index":{"A":[0],"system":[1],"for":[2,46,57],"understanding":[3],"time":[4],"utterances":[5],"spoken":[6],"in":[7,17,51],"German":[8],"language":[9],"is":[10],"presented.":[11],"Stochastic":[12],"models":[13,33],"contain":[14],"the":[15,18,29,47,52,58,61,68,73,77],"knowledge":[16,44],"semantic,":[19],"syntactic":[20],"and":[21,76],"acoustic-phonetic":[22],"levels.":[23],"An":[24],"adequate":[25],"semantic":[26,64],"representation":[27],"allows":[28],"integration":[30],"of":[31,42,60],"these":[32],"within":[34],"a":[35,81],"one-pass":[36],"Viterbi":[37],"search.":[38],"The":[39],"simultaneous":[40],"use":[41],"all":[43],"sources":[45],"search":[48,55],"procedure":[49],"results":[50],"smallest":[53],"possible":[54],"space":[56],"determination":[59],"most":[62],"probable":[63],"content":[65],"accurately":[66],"following":[67],"Bayes":[69],"classification":[70],"rule.":[71],"Both":[72],"recognition":[74],"accuracy":[75],"computing":[78],"speed":[79],"facilitate":[80],"realistic":[82],"application.":[83]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
