{"id":"https://openalex.org/W1962303650","doi":"https://doi.org/10.1109/icassp.2001.940828","title":"SNR-dependent waveform processing for improving the robustness of ASR front-end","display_name":"SNR-dependent waveform processing for improving the robustness of ASR front-end","publication_year":2002,"publication_date":"2002-11-13","ids":{"openalex":"https://openalex.org/W1962303650","doi":"https://doi.org/10.1109/icassp.2001.940828","mag":"1962303650"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2001.940828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2001.940828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221)","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/A5113811279","display_name":"D. Macho","orcid":null},"institutions":[{"id":"https://openalex.org/I2802964274","display_name":"Interface (United States)","ror":"https://ror.org/04nvtmr42","country_code":"US","type":"company","lineage":["https://openalex.org/I2802964274"]},{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D. Macho","raw_affiliation_strings":["Human Interface Laboratory, Motorola Research Laboratories, Schaumburg, IL, USA"],"affiliations":[{"raw_affiliation_string":"Human Interface Laboratory, Motorola Research Laboratories, Schaumburg, IL, USA","institution_ids":["https://openalex.org/I1333370159","https://openalex.org/I2802964274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011981635","display_name":"Yan Cheng","orcid":"https://orcid.org/0000-0003-3621-0029"},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]},{"id":"https://openalex.org/I2802964274","display_name":"Interface (United States)","ror":"https://ror.org/04nvtmr42","country_code":"US","type":"company","lineage":["https://openalex.org/I2802964274"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Ming Cheng","raw_affiliation_strings":["Human Interface Laboratory, Motorola Research Laboratories, Schaumburg, IL, USA"],"affiliations":[{"raw_affiliation_string":"Human Interface Laboratory, Motorola Research Laboratories, Schaumburg, IL, USA","institution_ids":["https://openalex.org/I1333370159","https://openalex.org/I2802964274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113811279"],"corresponding_institution_ids":["https://openalex.org/I1333370159","https://openalex.org/I2802964274"],"apc_list":null,"apc_paid":null,"fwci":2.0027,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86969826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"305","last_page":"308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9980999827384949,"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/robustness","display_name":"Robustness (evolution)","score":0.8124153017997742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7628233432769775},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.7428105473518372},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7388060092926025},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.5637417435646057},{"id":"https://openalex.org/keywords/front-and-back-ends","display_name":"Front and back ends","score":0.5574288964271545},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5281277298927307},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.456874281167984},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.43749725818634033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33132296800613403},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2339564859867096},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08429598808288574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07111945748329163}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8124153017997742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7628233432769775},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.7428105473518372},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7388060092926025},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.5637417435646057},{"id":"https://openalex.org/C53016008","wikidata":"https://www.wikidata.org/wiki/Q620167","display_name":"Front and back ends","level":2,"score":0.5574288964271545},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5281277298927307},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.456874281167984},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.43749725818634033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33132296800613403},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2339564859867096},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08429598808288574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07111945748329163},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2001.940828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2001.940828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W22549796","https://openalex.org/W2018228148","https://openalex.org/W2080921589","https://openalex.org/W2108072369"],"related_works":["https://openalex.org/W2782295999","https://openalex.org/W2120771489","https://openalex.org/W2162306796","https://openalex.org/W2051376034","https://openalex.org/W1970292246","https://openalex.org/W2955597484","https://openalex.org/W2016162169","https://openalex.org/W4247952185","https://openalex.org/W1895367623","https://openalex.org/W1642462315"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,11,27,95],"new":[3],"concept":[4],"in":[5,44,91,144],"advancing":[6],"the":[7,32,39,45,52,61,64,76,115,127,133],"noise":[8],"robustness":[9],"of":[10,55,66,146],"speech":[12,28,68,78,110],"recognition":[13,111,120],"front-end.":[14],"The":[15],"presented":[16,134],"method,":[17],"called":[18],"SNR-dependent":[19],"waveform":[20,46],"processing":[21],"(SWP),":[22],"exploits":[23],"SNR":[24,34,41,54],"variability":[25],"within":[26],"period":[29,35,42],"for":[30,126],"enhancing":[31],"high":[33],"portion":[36,43],"and":[37,59,87,108,119,139],"attenuating":[38],"low":[40],"time":[47],"domain.":[48],"In":[49,100],"this":[50,92],"way,":[51],"overall":[53],"noisy-speech":[56],"is":[57,69,136,141],"increased,":[58],"at":[60],"same":[62],"time,":[63],"periodicity":[65],"voiced":[67],"enhanced.":[70],"This":[71],"approach":[72],"differs":[73],"significantly":[74],"from":[75],"well-known":[77],"enhancement":[79],"techniques,":[80],"which":[81],"are":[82],"mostly":[83],"frequency":[84],"domain":[85],"based,":[86],"we":[88,104],"use":[89],"it":[90,140],"work":[93],"as":[94,122],"complementary":[96],"technique":[97],"to":[98],"them.":[99],"tests":[101],"with":[102],"SWP,":[103],"present":[105],"significant":[106],"clean":[107],"noisy":[109],"performance":[112],"gains":[113],"using":[114],"AURORA":[116],"2":[117],"database":[118],"system":[121],"defined":[123],"by":[124],"ETSI":[125],"robust":[128],"frontend":[129],"standardization":[130],"process.":[131],"Moreover,":[132],"algorithm":[135],"very":[137],"simple":[138],"attractive":[142],"also":[143],"terms":[145],"computational":[147],"load.":[148]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}