{"id":"https://openalex.org/W2115838857","doi":"https://doi.org/10.1109/icassp.2004.1326087","title":"Speech enhancement using robust weighting factors for critical-band-wavelet-packet transform","display_name":"Speech enhancement using robust weighting factors for critical-band-wavelet-packet transform","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2115838857","doi":"https://doi.org/10.1109/icassp.2004.1326087","mag":"2115838857"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1326087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 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/A5110708780","display_name":"Ching-Ta Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ching-Ta Lu","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan","Department of Electronic Engineering, Chin-Min College, Miao-Li, Taiwan","Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Electronic Engineering, Chin-Min College, Miao-Li, Taiwan","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan#TAB#","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055326144","display_name":"Hsiao-Chuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiao-Chuan Wang","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan","Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan#TAB#","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110708780"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":1.4021,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82062345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"I","last_page":"721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973999857902527,"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/weighting","display_name":"Weighting","score":0.7559455633163452},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6558164358139038},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6387289762496948},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6006093621253967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5922132134437561},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5391232371330261},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5229252576828003},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5184778571128845},{"id":"https://openalex.org/keywords/a-weighting","display_name":"A-weighting","score":0.47371333837509155},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4647957682609558},{"id":"https://openalex.org/keywords/critical-band","display_name":"Critical band","score":0.46003302931785583},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4412422180175781},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30028149485588074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28976330161094666},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2760428488254547},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.2652534544467926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24390509724617004},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.19564375281333923},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15670520067214966},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13248836994171143},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11876904964447021},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.06242761015892029}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7559455633163452},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6558164358139038},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6387289762496948},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6006093621253967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5922132134437561},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5391232371330261},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5229252576828003},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5184778571128845},{"id":"https://openalex.org/C70136482","wikidata":"https://www.wikidata.org/wiki/Q13583781","display_name":"A-weighting","level":3,"score":0.47371333837509155},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4647957682609558},{"id":"https://openalex.org/C96390635","wikidata":"https://www.wikidata.org/wiki/Q366708","display_name":"Critical band","level":2,"score":0.46003302931785583},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4412422180175781},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30028149485588074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28976330161094666},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2760428488254547},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2652534544467926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24390509724617004},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.19564375281333923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15670520067214966},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13248836994171143},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11876904964447021},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.06242761015892029},{"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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2004.1326087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W154898858","https://openalex.org/W1985886883","https://openalex.org/W2115755118","https://openalex.org/W2133110169","https://openalex.org/W2138406058","https://openalex.org/W2146842127","https://openalex.org/W2158185319","https://openalex.org/W2165796271","https://openalex.org/W2169502887"],"related_works":["https://openalex.org/W2092002118","https://openalex.org/W1880952682","https://openalex.org/W1963516324","https://openalex.org/W2014269659","https://openalex.org/W1971836599","https://openalex.org/W2019002543","https://openalex.org/W2619302272","https://openalex.org/W2180954594","https://openalex.org/W2075728349","https://openalex.org/W2033210010"],"abstract_inverted_index":{"Although":[0],"the":[1,35,42,49,52,57,61,69,71,86,94,96,117,126,131],"noise":[2,46,65,90],"masking":[3],"threshold":[4],"(NMT)":[5],"has":[6],"been":[7],"applied":[8],"in":[9,19,109],"adapting":[10],"speech":[11,53,77,105],"enhancement":[12],"systems,":[13],"it":[14],"may":[15],"suffer":[16],"from":[17],"underestimation":[18,118],"low-SNR":[20],"condition.":[21],"We":[22],"derive":[23],"a":[24,110],"robust":[25,36],"weighting":[26,37,97,120],"factor":[27,38,98],"for":[28,115],"each":[29],"wavelet":[30,72],"subband.":[31],"The":[32],"function":[33],"of":[34,44,63,75,88,113,119,133],"is":[39,66,91,99],"to":[40,80,101,103],"keep":[41],"energy":[43,62,87],"residual":[45,58,64,83,89],"lower":[47,111],"than":[48,56,68,93],"NMT":[50,114],"and":[51],"distortion":[54],"smaller":[55,92],"noise.":[59,84],"If":[60,85],"greater":[67],"NMT,":[70,95],"coefficients":[73],"(WCs)":[74],"noisy":[76],"are":[78],"suppressed":[79],"remove":[81],"more":[82],"set":[100],"one":[102],"retain":[104],"quality.":[106],"It":[107],"results":[108,123],"bound":[112],"preventing":[116],"factors.":[121],"Experimental":[122],"show":[124],"that":[125],"proposed":[127],"method":[128],"can":[129],"improve":[130],"naturalness":[132],"enhanced":[134],"speech.":[135]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
