{"id":"https://openalex.org/W3133752821","doi":"https://doi.org/10.1109/iscslp49672.2021.9362082","title":"Usability And Practicality of Speech Recording by Mobile Phones for Phonetic Analysis","display_name":"Usability And Practicality of Speech Recording by Mobile Phones for Phonetic Analysis","publication_year":2021,"publication_date":"2021-01-24","ids":{"openalex":"https://openalex.org/W3133752821","doi":"https://doi.org/10.1109/iscslp49672.2021.9362082","mag":"3133752821"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp49672.2021.9362082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp49672.2021.9362082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)","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/A5102430687","display_name":"Yihan Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yihan Guan","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035370309","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-3956-8408"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9959999918937683,"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":0.9948999881744385,"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/phonation","display_name":"Phonation","score":0.8453051447868347},{"id":"https://openalex.org/keywords/quiet","display_name":"QUIET","score":0.8338329792022705},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6116864681243896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5920049548149109},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5369213819503784},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4792901873588562},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.4571227729320526},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43582600355148315},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4117491841316223},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4112609624862671},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4011605381965637},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.2502671480178833},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15206152200698853},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13017487525939941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1285855770111084},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.11337628960609436},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07068595290184021}],"concepts":[{"id":"https://openalex.org/C173988693","wikidata":"https://www.wikidata.org/wiki/Q678132","display_name":"Phonation","level":2,"score":0.8453051447868347},{"id":"https://openalex.org/C2777185736","wikidata":"https://www.wikidata.org/wiki/Q7265603","display_name":"QUIET","level":2,"score":0.8338329792022705},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6116864681243896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5920049548149109},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5369213819503784},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4792901873588562},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.4571227729320526},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43582600355148315},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4117491841316223},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4112609624862671},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4011605381965637},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.2502671480178833},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15206152200698853},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13017487525939941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1285855770111084},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.11337628960609436},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07068595290184021},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp49672.2021.9362082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp49672.2021.9362082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W381086778","https://openalex.org/W1534569887","https://openalex.org/W1574354462","https://openalex.org/W1621049369","https://openalex.org/W1875231349","https://openalex.org/W2089759944","https://openalex.org/W4252510720","https://openalex.org/W6613001013","https://openalex.org/W6636484630","https://openalex.org/W6639350448"],"related_works":["https://openalex.org/W3145885707","https://openalex.org/W4388398572","https://openalex.org/W4240949492","https://openalex.org/W1964830557","https://openalex.org/W4300668837","https://openalex.org/W4319998403","https://openalex.org/W2803228905","https://openalex.org/W4287455427","https://openalex.org/W4242241436","https://openalex.org/W2483438944"],"abstract_inverted_index":{"High-quality":[0],"speech":[1,41,57,88],"recording":[2,102],"is":[3,16,30],"critical":[4],"to":[5,35,39,100,153],"phonetic":[6,108],"analysis.":[7],"However,":[8],"when":[9,192],"professional":[10,178],"equipment":[11],"or":[12,24],"a":[13,66,72,82],"sound-proof":[14],"booth":[15],"not":[17],"accessible,":[18],"such":[19,170],"as":[20,148,150,171],"in":[21,65,113,128,139,182],"random":[22],"sampling":[23],"during":[25],"the":[26,49,114,129,157],"current":[27],"pandemic":[28],"period,":[29],"it":[31],"reliable":[32,175],"and":[33,47,52,120,142,196],"valid":[34],"use":[36],"non-professional":[37,168],"devices":[38,46,80,169],"record":[40],"data?":[42],"We":[43,61,104],"selected":[44],"ten":[45],"examined":[48],"frequency":[50,84,89],"range":[51],"signal-to-noise":[53],"ratio":[54],"(SNR)":[55],"of":[56,110,144,177,194],"data":[58,111],"they":[59],"recorded.":[60],"also":[62,98],"compared":[63],"recordings":[64,130],"quiet":[67,115],"room":[68],"with":[69],"noise":[70,97],"at":[71,180],"moderate":[73],"level.":[74],"The":[75],"results":[76],"showed":[77,160],"that":[78,167],"all":[79,132],"recorded":[81,112],"wide":[83],"range,":[85],"which":[86],"covered":[87],"well.":[90],"But,":[91],"their":[92],"SNRs":[93],"differed":[94],"significantly.":[95],"Environmental":[96],"appeared":[99],"affect":[101],"quality.":[103],"then":[105],"analyzed":[106],"fine-grained":[107],"parameters":[109,151,198],"room,":[116],"including":[117],"suprasegmental,":[118],"segmental":[119],"phonation-related":[121,197],"parameters.":[122],"F0":[123],"was":[124],"found":[125],"relatively":[126],"consistent":[127],"from":[131],"devices,":[133],"but":[134],"certain":[135],"differences":[136],"were":[137],"captured":[138],"F1,":[140],"F2":[141],"Center":[143],"Gravity":[145],"(CoG).":[146],"F3":[147,195],"well":[149],"relevant":[152],"phonation":[154],"analysis,":[155],"on":[156],"other":[158],"hand,":[159],"high":[161],"variations.":[162],"Therefore,":[163],"our":[164],"findings":[165],"suggest":[166],"mobile":[172],"phones":[173],"are":[174,199],"substitutes":[176],"recorders,":[179],"least":[181],"prosodic":[183],"analysis":[184],"for":[185],"general":[186],"purposes.":[187],"Cautions":[188],"should":[189],"be":[190],"taken":[191],"values":[193],"involved.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}