{"id":"https://openalex.org/W2097556372","doi":"https://doi.org/10.1109/icassp.2009.4960506","title":"Sparse probabilistic state mapping and its application to speech bandwidth expansion","display_name":"Sparse probabilistic state mapping and its application to speech bandwidth expansion","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2097556372","doi":"https://doi.org/10.1109/icassp.2009.4960506","mag":"2097556372"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5008449971","display_name":"Kaustubh Kalgaonkar","orcid":null},"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":true,"raw_author_name":"Kaustubh Kalgaonkar","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta 30332, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112196915","display_name":"Mark A. Clements","orcid":null},"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":"Mark A. Clements","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta 30332, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta 30332, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008449971"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.7049,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68157218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4005","last_page":"4008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987000226974487,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.998199999332428,"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/narrowband","display_name":"Narrowband","score":0.8008867502212524},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7737261652946472},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7488234043121338},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7012197971343994},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6610573530197144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6043530702590942},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49316591024398804},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4560421109199524},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4109559655189514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.330618292093277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3298165798187256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2904483675956726},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1896267533302307},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.092400461435318}],"concepts":[{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.8008867502212524},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7737261652946472},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7488234043121338},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7012197971343994},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6610573530197144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6043530702590942},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49316591024398804},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4560421109199524},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4109559655189514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.330618292093277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3298165798187256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2904483675956726},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1896267533302307},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.092400461435318},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4960506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W76143023","https://openalex.org/W97829328","https://openalex.org/W1522137499","https://openalex.org/W1551198852","https://openalex.org/W1591013319","https://openalex.org/W1828370124","https://openalex.org/W1873429176","https://openalex.org/W2068728923","https://openalex.org/W2118718620","https://openalex.org/W2122468150","https://openalex.org/W2135674907","https://openalex.org/W2164666331","https://openalex.org/W3139851729","https://openalex.org/W6603899244","https://openalex.org/W6632976298","https://openalex.org/W6677759377"],"related_works":["https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394","https://openalex.org/W2025894073"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2,46],"we":[3],"present":[4],"a":[5,10,20,48],"probabilistic":[6,63],"algorithm":[7],"that":[8,74],"extracts":[9],"mapping":[11],"between":[12],"two":[13],"subspaces":[14],"by":[15,58],"representing":[16],"each":[17],"subspace":[18],"as":[19],"collection":[21],"of":[22,29,42,70,90],"states.":[23],"An":[24],"arbitrary":[25],"increase":[26],"in":[27,32],"number":[28],"states":[30],"results":[31],"over-fitting":[33],"the":[34,39,43,55,68,77,93],"training":[35],"data":[36],"without":[37],"exploring":[38],"underlying":[40],"structure":[41],"map.":[44],"This":[45,62],"suggests":[47],"method":[49],"to":[50,67],"impose":[51],"sparsity":[52],"constraints":[53],"on":[54],"state":[56],"map":[57],"using":[59],"entropic":[60],"priors.":[61],"model":[64],"is":[65],"applied":[66],"problem":[69],"artificial":[71],"bandwidth":[72],"expansion":[73],"involves":[75],"estimating":[76],"missing":[78],"frequency":[79],"components":[80],"(3.7":[81],"-":[82,87,98],"8":[83],"kHz":[84],"and":[85],"0":[86],"0.3":[88],"kHz)":[89],"speech":[91,95],"given":[92],"narrowband":[94],"signal":[96],"(0.3":[97],"3.7":[99],"kHz).":[100]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
