{"id":"https://openalex.org/W154225146","doi":"https://doi.org/10.21437/interspeech.2010-303","title":"An analysis of sparseness and regularization in exemplar-based methods for speech classification","display_name":"An analysis of sparseness and regularization in exemplar-based methods for speech classification","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W154225146","doi":"https://doi.org/10.21437/interspeech.2010-303","mag":"154225146"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-303","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-303","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":"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/A5046671967","display_name":"Dimitri Kanevsky","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dimitri Kanevsky","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070513394","display_name":"Tara N. Sainath","orcid":"https://orcid.org/0000-0002-4126-6556"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tara N. Sainath","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071715737","display_name":"Bhuvana Ramabhadran","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhuvana Ramabhadran","raw_affiliation_strings":["IBM (United States), Armonk, United States"],"affiliations":[{"raw_affiliation_string":"IBM (United States), Armonk, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007586881","display_name":"D. Nahamoo","orcid":null},"institutions":[{"id":"https://openalex.org/I1292318990","display_name":"Nuance Communications (Austria)","ror":"https://ror.org/04ggpbw68","country_code":"AT","type":"company","lineage":["https://openalex.org/I1292318990","https://openalex.org/I4210125787"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"David Nahamoo","raw_affiliation_strings":["Nuance Communications (Austria), Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Nuance Communications (Austria), Vienna, Austria","institution_ids":["https://openalex.org/I1292318990"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046671967"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":6.0685,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.96757878,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2842","last_page":"2845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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":0.9993000030517578,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/regularization","display_name":"Regularization (linguistics)","score":0.7815420627593994},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.7700639367103577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7529149055480957},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5795981884002686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5636322498321533},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.5485117435455322},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42036300897598267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37731167674064636},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33358845114707947},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.1894228160381317}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7815420627593994},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.7700639367103577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7529149055480957},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5795981884002686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5636322498321533},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.5485117435455322},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42036300897598267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37731167674064636},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33358845114707947},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.1894228160381317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2010-303","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-303","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":"Quality Education","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W38854004","https://openalex.org/W107934374","https://openalex.org/W2034870236","https://openalex.org/W2063978378","https://openalex.org/W2071284784","https://openalex.org/W2122825543","https://openalex.org/W2129812935","https://openalex.org/W2135046866","https://openalex.org/W2150863656"],"related_works":["https://openalex.org/W2071828724","https://openalex.org/W1994694193","https://openalex.org/W2161865195","https://openalex.org/W170831052","https://openalex.org/W4247725880","https://openalex.org/W1006721676","https://openalex.org/W2100854157","https://openalex.org/W1771058801","https://openalex.org/W2978471304","https://openalex.org/W4285346358"],"abstract_inverted_index":{"The":[0,55],"use":[1],"of":[2,22,48,51,57],"exemplar-based":[3,28],"techniques":[4],"for":[5,27,79],"both":[6,67],"speech":[7,29,43],"classification":[8,81],"and":[9,74],"recognition":[10],"tasks":[11],"has":[12,31,39],"become":[13],"increasingly":[14],"popular":[15],"in":[16,42,82],"recent":[17],"years.":[18],"However,":[19],"the":[20,46,63],"notion":[21],"why":[23],"sparseness":[24,72],"is":[25,60],"important":[26],"processing":[30,44],"been":[32,40],"relatively":[33],"unexplored.":[34],"In":[35],"addition,":[36],"little":[37],"analysis":[38],"done":[41],"on":[45],"appropriateness":[47],"different":[49,71],"types":[50],"sparsity":[52],"regularization":[53],"constraints.":[54],"goal":[56],"this":[58],"paper":[59],"to":[61],"answer":[62],"above":[64],"two":[65],"questions,":[66],"through":[68],"mathematically":[69],"analyzing":[70],"methods":[73],"also":[75],"comparing":[76],"these":[77],"approaches":[78],"phonetic":[80],"TIMIT.":[83]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
