{"id":"https://openalex.org/W2552261287","doi":"https://doi.org/10.1109/mlsp.2016.7738873","title":"Estimating multiple physical parameters from speech data","display_name":"Estimating multiple physical parameters from speech data","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2552261287","doi":"https://doi.org/10.1109/mlsp.2016.7738873","mag":"2552261287"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2016.7738873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5058608609","display_name":"Shareef Babu Kalluri","orcid":"https://orcid.org/0000-0002-7413-0014"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shareef Babu Kalluri","raw_affiliation_strings":["Department of E & C Engineering, National Institute of Technology Karnataka, Surathkal Mangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of E & C Engineering, National Institute of Technology Karnataka, Surathkal Mangalore, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000804260","display_name":"Ashwin Vijayakumar","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashwin Vijayakumar","raw_affiliation_strings":["Department of E & C Engineering, National Institute of Technology Karnataka, Surathkal Mangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of E & C Engineering, National Institute of Technology Karnataka, Surathkal Mangalore, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080162701","display_name":"Deepu Vijayasenan","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepu Vijayasenan","raw_affiliation_strings":["Department of E & C Engineering, National Institute of Technology Karnataka, Surathkal Mangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of E & C Engineering, National Institute of Technology Karnataka, Surathkal Mangalore, India","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102775511","display_name":"Rita Singh","orcid":"https://orcid.org/0000-0003-3743-0162"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rita Singh","raw_affiliation_strings":["Department of E & C Engineering, National Institute of Technology Karnataka, Surathkal Mangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of E & C Engineering, National Institute of Technology Karnataka, Surathkal Mangalore, India","institution_ids":["https://openalex.org/I11880225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058608609"],"corresponding_institution_ids":["https://openalex.org/I11880225"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67419068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9939000010490417,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9939000010490417,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9448999762535095,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/mean-squared-error","display_name":"Mean squared error","score":0.613675057888031},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5862679481506348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5584443211555481},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5150808691978455},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5083371996879578},{"id":"https://openalex.org/keywords/waist","display_name":"Waist","score":0.4936564862728119},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.48744872212409973},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.47268253564834595},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4699084162712097},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45993971824645996},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4573615789413452},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42444437742233276},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.4203488528728485},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40003708004951477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38379693031311035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38160252571105957},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09225288033485413}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.613675057888031},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5862679481506348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5584443211555481},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5150808691978455},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5083371996879578},{"id":"https://openalex.org/C2776193436","wikidata":"https://www.wikidata.org/wiki/Q236232","display_name":"Waist","level":3,"score":0.4936564862728119},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.48744872212409973},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.47268253564834595},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4699084162712097},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45993971824645996},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4573615789413452},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42444437742233276},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.4203488528728485},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40003708004951477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38379693031311035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38160252571105957},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09225288033485413},{"id":"https://openalex.org/C511355011","wikidata":"https://www.wikidata.org/wiki/Q12174","display_name":"Obesity","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2016.7738873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W120447349","https://openalex.org/W1561415963","https://openalex.org/W1635512741","https://openalex.org/W1964357740","https://openalex.org/W1982976845","https://openalex.org/W2015697900","https://openalex.org/W2166023385","https://openalex.org/W2171372236","https://openalex.org/W2171581401","https://openalex.org/W2325167098","https://openalex.org/W2395855049","https://openalex.org/W6604793197","https://openalex.org/W6684492734","https://openalex.org/W6711866508"],"related_works":["https://openalex.org/W2376494475","https://openalex.org/W3011201302","https://openalex.org/W2786391746","https://openalex.org/W2991483587","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4226059458","https://openalex.org/W2914559142","https://openalex.org/W1990237101","https://openalex.org/W3196471634"],"abstract_inverted_index":{"In":[0],"this":[1,39],"work,":[2],"we":[3],"explore":[4],"prediction":[5],"of":[6,22,48,71,86,108,116],"different":[7],"physical":[8,66],"parameters":[9,67],"from":[10,24,43,68],"speech":[11,25],"data.":[12],"We":[13],"aim":[14],"to":[15,29,79],"predict":[16],"shoulder":[17,94],"size":[18,21,99],"and":[19,33,100],"waist":[20,98],"people":[23],"data":[26],"in":[27],"addition":[28],"the":[30,65,69,72,117],"conventional":[31],"height":[32,90,109],"weight":[34,104],"parameters.":[35],"A":[36,46,60],"data-set":[37],"with":[38,114],"information":[40],"is":[41,56,77,111],"created":[42],"207":[44],"volunteers.":[45],"bag":[47,70],"words":[49,73],"representation":[50],"based":[51],"on":[52,112],"log":[53],"magnitude":[54],"spectrum":[55],"used":[57],"as":[58],"features.":[59],"support":[61],"vector":[62],"regression":[63],"predicts":[64],"representation.":[74],"The":[75,106],"system":[76],"able":[78],"achieve":[80],"a":[81],"root":[82],"mean":[83],"square":[84],"error":[85],"6.6":[87],"cm":[88],"for":[89,93,97,103],"estimation,":[91],"2.6cm":[92],"size,":[95],"7.1cm":[96],"8.9":[101],"kg":[102],"estimation.":[105],"results":[107],"estimation":[110],"par":[113],"state":[115],"art":[118],"results.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}