{"id":"https://openalex.org/W44928787","doi":"https://doi.org/10.21437/interspeech.2007-427","title":"A study on word detector design and knowledge-based pruning and rescoring","display_name":"A study on word detector design and knowledge-based pruning and rescoring","publication_year":2007,"publication_date":"2007-08-27","ids":{"openalex":"https://openalex.org/W44928787","doi":"https://doi.org/10.21437/interspeech.2007-427","mag":"44928787"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2007-427","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","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/A5102725787","display_name":"Chengyuan Ma","orcid":"https://orcid.org/0000-0001-5126-5883"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chengyuan Ma","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066868860","display_name":"Chin\u2010Hui Lee","orcid":"https://orcid.org/0000-0002-1892-2551"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chin-Hui Lee","raw_affiliation_strings":["[Georgia Institute of Technology.]"],"affiliations":[{"raw_affiliation_string":"[Georgia Institute of Technology.]","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102725787"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2854,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91917883,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1473","last_page":"1476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9975000023841858,"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/T11309","display_name":"Music and Audio Processing","score":0.9912999868392944,"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":0.8609554171562195},{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.8175674676895142},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6783820986747742},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6215545535087585},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.6212133169174194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5913782715797424},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5439091324806213},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5061325430870056},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48929139971733093},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.45446789264678955},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.311527281999588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8609554171562195},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.8175674676895142},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6783820986747742},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6215545535087585},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.6212133169174194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5913782715797424},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5439091324806213},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5061325430870056},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48929139971733093},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.45446789264678955},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.311527281999588},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2007-427","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2007-427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2007","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W110305337","https://openalex.org/W155708904","https://openalex.org/W202359724","https://openalex.org/W1507177964","https://openalex.org/W1559678887","https://openalex.org/W1590447358","https://openalex.org/W1926862126","https://openalex.org/W1967177300","https://openalex.org/W2032759346","https://openalex.org/W2096421062","https://openalex.org/W2122797512","https://openalex.org/W2163314930","https://openalex.org/W2405666970","https://openalex.org/W2952387069"],"related_works":["https://openalex.org/W2918559346","https://openalex.org/W2114097550","https://openalex.org/W4286904253","https://openalex.org/W3119978414","https://openalex.org/W2516975559","https://openalex.org/W2545741539","https://openalex.org/W3206647229","https://openalex.org/W1969408022","https://openalex.org/W2000885660","https://openalex.org/W2117995638"],"abstract_inverted_index":{"Detection":[0],"of":[1,11,42],"speech":[2,15,21],"attributes,":[3],"phones":[4],"and":[5,38,58,88,117,144,153],"words":[6,57,60,146],"is":[7,78],"a":[8,12,28,71],"key":[9],"component":[10],"detection-based":[13],"automatic":[14,20],"recognition":[16],"framework":[17],"in":[18,46,63],"the":[19,68,97,102,112,124,131,137],"attribute":[22],"transcription":[23],"project.":[24],"This":[25,106],"paper":[26],"presents":[27],"two-stage":[29],"approach,":[30],"keywordfiller":[31],"network":[32,74],"method":[33],"followed":[34],"by":[35],"knowledge-based":[36,162],"pruning":[37],"rescoring,":[39],"for":[40,75,142],"detection":[41,77,87,138],"any":[43],"given":[44],"word":[45,76,104,133,160],"continuous":[47],"speech.":[48],"Different":[49],"from":[50,83,101,149],"conventional":[51,125],"keyword":[52,126],"spotting":[53,127],"systems,":[54],"both":[55],"content":[56,143],"function":[59,145],"are":[61],"considered":[62],"this":[64],"study.":[65],"To":[66],"reduce":[67],"high":[69],"miss,":[70],"modified":[72],"grammar":[73],"proposed.":[79],"Then":[80],"knowledge":[81],"sources":[82],"landmark":[84],"detection,":[85,161],"attributes":[86],"other":[89],"spectral":[90],"cues":[91],"were":[92,147],"combined":[93],"together":[94],"to":[95,151,155],"remove":[96],"unlikely":[98],"putative":[99],"segments":[100],"hypothesized":[103],"candidates.":[105],"study":[107],"has":[108],"been":[109],"evaluated":[110],"on":[111],"WSJ0":[113],"corpus":[114],"under":[115],"matched":[116],"mismatched":[118],"acoustic":[119],"conditions.":[120],"When":[121],"comparing":[122],"with":[123],"system,":[128],"we":[129],"found":[130],"proposed":[132],"detector":[134],"greatly":[135],"improves":[136],"performance.":[139],"The":[140],"figure-of-merits":[141],"improved":[148],"48.8%":[150],"61.5%,":[152],"22.3%":[154],"33.1%":[156],"respectively.":[157],"Index":[158],"Terms:":[159]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
