{"id":"https://openalex.org/W2407166917","doi":"https://doi.org/10.1109/icassp.2016.7472819","title":"On the influence of quantization on the identifiability of emotions from voice coding parameters","display_name":"On the influence of quantization on the identifiability of emotions from voice coding parameters","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2407166917","doi":"https://doi.org/10.1109/icassp.2016.7472819","mag":"2407166917"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079725420","display_name":"Patrick Robitaille","orcid":null},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Patrick Robitaille","raw_affiliation_strings":["Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001556301","display_name":"Samuel Trempe","orcid":null},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Samuel Trempe","raw_affiliation_strings":["Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011508393","display_name":"Philippe Gournay","orcid":null},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Philippe Gournay","raw_affiliation_strings":["Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I135117807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103359405","display_name":"Roch Lefebvre","orcid":null},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Roch Lefebvre","raw_affiliation_strings":["Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech and Audio Research Group, Universit\u00e9 de Sherbrooke, Sherbrooke, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I135117807"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135117807"],"apc_list":null,"apc_paid":null,"fwci":0.2199,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3283329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"5950","last_page":"5954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9975000023841858,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9972000122070312,"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/speech-recognition","display_name":"Speech recognition","score":0.7376499176025391},{"id":"https://openalex.org/keywords/voice","display_name":"Voice","score":0.6088995337486267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.589215099811554},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.5757322311401367},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.5687042474746704},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5163270831108093},{"id":"https://openalex.org/keywords/harmonic-vector-excitation-coding","display_name":"Harmonic Vector Excitation Coding","score":0.4843360185623169},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4419710040092468},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.41312819719314575},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3027096390724182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2928829789161682},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2627788186073303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1012551486492157}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7376499176025391},{"id":"https://openalex.org/C552089266","wikidata":"https://www.wikidata.org/wiki/Q494510","display_name":"Voice","level":2,"score":0.6088995337486267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.589215099811554},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.5757322311401367},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.5687042474746704},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5163270831108093},{"id":"https://openalex.org/C80167644","wikidata":"https://www.wikidata.org/wiki/Q463990","display_name":"Harmonic Vector Excitation Coding","level":3,"score":0.4843360185623169},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4419710040092468},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.41312819719314575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3027096390724182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2928829789161682},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2627788186073303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1012551486492157}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":24,"referenced_works":["https://openalex.org/W175750906","https://openalex.org/W278779762","https://openalex.org/W1567186732","https://openalex.org/W1797580880","https://openalex.org/W1987048275","https://openalex.org/W1989932830","https://openalex.org/W2032626536","https://openalex.org/W2074788634","https://openalex.org/W2080576537","https://openalex.org/W2118789253","https://openalex.org/W2121263662","https://openalex.org/W2137639365","https://openalex.org/W2165113952","https://openalex.org/W2166496785","https://openalex.org/W2168692779","https://openalex.org/W2396589722","https://openalex.org/W2401887077","https://openalex.org/W2911964244","https://openalex.org/W3159973907","https://openalex.org/W4245744384","https://openalex.org/W6607193717","https://openalex.org/W6712588427","https://openalex.org/W6794920904","https://openalex.org/W6927634225"],"related_works":["https://openalex.org/W1928998787","https://openalex.org/W1570840316","https://openalex.org/W2155796184","https://openalex.org/W2021359362","https://openalex.org/W1000239413","https://openalex.org/W2350749055","https://openalex.org/W2509918616","https://openalex.org/W1947084279","https://openalex.org/W2059115472","https://openalex.org/W2174640871"],"abstract_inverted_index":{"Although":[0],"emotions":[1],"play":[2],"a":[3,34],"major":[4],"role":[5],"in":[6],"voice":[7,18,47,95],"communication,":[8],"the":[9,30,60,89,109],"quality":[10],"of":[11,33,62,81,92],"their":[12],"reproduction":[13,91],"by":[14,87],"low":[15],"bit":[16],"rate":[17],"coders":[19],"has":[20],"never":[21],"been":[22],"investigated":[23],"so":[24],"far.":[25],"This":[26,77],"paper":[27],"shows":[28,58],"that":[29,59,79],"emotional":[31],"state":[32],"speaker":[35],"can":[36],"be":[37,85],"identified":[38],"automatically,":[39],"with":[40],"reasonable":[41],"precision":[42],"and":[43,53,115],"accuracy,":[44],"using":[45],"conventional":[46],"coding":[48],"parameters":[49,68,83],"(pitch,":[50],"voicing,":[51],"energy":[52],"LPC":[54],"coefficients).":[55],"It":[56],"also":[57],"performance":[61],"this":[63],"identification":[64],"degrades":[65],"when":[66],"these":[67],"are":[69],"quantized,":[70],"especially":[71],"at":[72],"lower":[73],"rates":[74],"(1200":[75],"bits/s).":[76],"suggests":[78],"quantization":[80],"speech":[82],"could":[84],"improved":[86],"targeting":[88],"faithful":[90],"important":[93],"higher-level":[94],"communication":[96],"attributes":[97],"such":[98,107],"as":[99,108],"emotions,":[100],"rather":[101],"than":[102],"simply":[103],"optimizing":[104],"objective":[105],"measures":[106],"signal-to-noise":[110],"ratio,":[111],"mean":[112],"squared":[113],"error":[114],"spectral":[116],"distortion.":[117]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
