{"id":"https://openalex.org/W79033074","doi":"https://doi.org/10.21437/eurospeech.1997-360","title":"Signal driven generation of word baseforms from few examples","display_name":"Signal driven generation of word baseforms from few examples","publication_year":1997,"publication_date":"1997-09-22","ids":{"openalex":"https://openalex.org/W79033074","doi":"https://doi.org/10.21437/eurospeech.1997-360","mag":"79033074"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1997-360","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1997-360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th European Conference on Speech Communication and Technology (Eurospeech 1997)","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/A5074292629","display_name":"Andreas Hauenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I1321014770","display_name":"Association for Computing Machinery","ror":"https://ror.org/03wsadn68","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1321014770"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andreas Hauenstein","raw_affiliation_strings":["Association For Computing Machinery"],"affiliations":[{"raw_affiliation_string":"Association For Computing Machinery","institution_ids":["https://openalex.org/I1321014770"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074292629"],"corresponding_institution_ids":["https://openalex.org/I1321014770"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00975446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1031","last_page":"1034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9943000078201294,"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":0.9943000078201294,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9800000190734863,"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/T12031","display_name":"Speech and dialogue systems","score":0.916100025177002,"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":0.8411279916763306},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7809698581695557},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.7738729119300842},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.7073008418083191},{"id":"https://openalex.org/keywords/spelling","display_name":"Spelling","score":0.6654394268989563},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6598783135414124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6221120953559875},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6067237257957458},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5702918171882629},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5233468413352966},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4487150013446808},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4238247871398926},{"id":"https://openalex.org/keywords/word-recognition","display_name":"Word recognition","score":0.4227634072303772},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14729145169258118},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.08861380815505981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8411279916763306},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7809698581695557},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.7738729119300842},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.7073008418083191},{"id":"https://openalex.org/C2777801307","wikidata":"https://www.wikidata.org/wiki/Q2088390","display_name":"Spelling","level":2,"score":0.6654394268989563},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6598783135414124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6221120953559875},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6067237257957458},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5702918171882629},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5233468413352966},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4487150013446808},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4238247871398926},{"id":"https://openalex.org/C150856459","wikidata":"https://www.wikidata.org/wiki/Q8034367","display_name":"Word recognition","level":3,"score":0.4227634072303772},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14729145169258118},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.08861380815505981},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.1997-360","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1997-360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th European Conference on Speech Communication and Technology (Eurospeech 1997)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2097268427","https://openalex.org/W3148186152"],"related_works":["https://openalex.org/W2100947578","https://openalex.org/W2161008081","https://openalex.org/W1555832326","https://openalex.org/W4298186509","https://openalex.org/W2556702969","https://openalex.org/W217221262","https://openalex.org/W611030372","https://openalex.org/W1974418053","https://openalex.org/W1980930823","https://openalex.org/W2148167314"],"abstract_inverted_index":{"The":[0,24,45],"work":[1],"described":[2],"in":[3,14],"this":[4],"paper":[5],"attempts":[6],"to":[7,26,105,108],"automatically":[8],"generate":[9],"word":[10,41,81],"baseforms":[11,61],"as":[12,56,58],"used":[13],"the":[15,27,60],"pronunciation":[16],"dictionaries":[17],"of":[18,30,52,101],"large":[19],"vocabulary":[20],"speech":[21],"recognition":[22],"systems.":[23],"input":[25],"algorithm":[28],"consists":[29],"several":[31],"sample":[32,78],"utterances":[33,79],"per":[34,80],"word.":[35],"No":[36],"additional":[37],"information,":[38],"like":[39],"e.g.":[40],"spelling,":[42],"is":[43],"used.":[44],"task":[46],"involves":[47],"determining":[48,59],"a":[49,68,94,98],"suitable":[50],"inventory":[51,100],"subword":[53],"units":[54],"(SWU)":[55],"well":[57],"themselves.":[62],"Experiments":[63],"show":[64],"that":[65,103],"improvements":[66],"over":[67],"triphone":[69],"based":[70,96],"dictionary":[71],"are":[72,87],"possible":[73,90],"with":[74],"less":[75],"than":[76],"ten":[77],"if":[82],"test":[83],"and":[84],"training":[85],"vocabularies":[86],"different.":[88],"A":[89],"application":[91],"would":[92],"be":[93,106],"system":[95],"on":[97],"fixed":[99],"HMM-models":[102],"needs":[104],"adapted":[107],"different":[109],"vocabularies.":[110]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}