{"id":"https://openalex.org/W25676668","doi":"https://doi.org/10.21437/icslp.1998-348","title":"Wavelet transform-based speech enhancement","display_name":"Wavelet transform-based speech enhancement","publication_year":1998,"publication_date":"1998-11-30","ids":{"openalex":"https://openalex.org/W25676668","doi":"https://doi.org/10.21437/icslp.1998-348","mag":"25676668"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.1998-348","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","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/A5028116210","display_name":"Eliathamby Ambikairajah","orcid":"https://orcid.org/0000-0003-4673-6534"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Eliathamby Ambikairajah","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110465412","display_name":"Graham D. Tattersall","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Graham Tattersall","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5045665233","display_name":"Andrew G. Davis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Davis","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028116210"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7593,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.70968637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"paper 0140","last_page":"0"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9993000030517578,"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/speech-enhancement","display_name":"Speech enhancement","score":0.7513728141784668},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.6969415545463562},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6933228969573975},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.6744803190231323},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.670045793056488},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.6430410146713257},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6156476736068726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6153797507286072},{"id":"https://openalex.org/keywords/harmonic-wavelet-transform","display_name":"Harmonic wavelet transform","score":0.585440993309021},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5654529333114624},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5350075364112854},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.496329128742218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4620837867259979},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.432743102312088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43067365884780884},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.20128881931304932}],"concepts":[{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.7513728141784668},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.6969415545463562},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6933228969573975},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.6744803190231323},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.670045793056488},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.6430410146713257},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6156476736068726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6153797507286072},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.585440993309021},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5654529333114624},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5350075364112854},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.496329128742218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4620837867259979},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.432743102312088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43067365884780884},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.20128881931304932},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/icslp.1998-348","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1998-348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th International Conference on Spoken Language Processing (ICSLP 1998)","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":6,"referenced_works":["https://openalex.org/W1546395807","https://openalex.org/W1658679052","https://openalex.org/W1838895039","https://openalex.org/W1996021349","https://openalex.org/W2130202579","https://openalex.org/W2146842127"],"related_works":["https://openalex.org/W2088723847","https://openalex.org/W1967182499","https://openalex.org/W1588899229","https://openalex.org/W2085792030","https://openalex.org/W2044436710","https://openalex.org/W2144408025","https://openalex.org/W2120966954","https://openalex.org/W2023142747","https://openalex.org/W1976022598","https://openalex.org/W2205192157"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,8,12,36,42,56],"speech":[4,34,50],"enhancement":[5,32,82],"system":[6],"using":[7,49],"novel":[9],"combination":[10],"of":[11,28,33,59],"Fast":[13],"Wavelet":[14,65],"Transform":[15],"structure,":[16],"together":[17],"with":[18,51],"\u201cWiener":[19],"filtering\u201d":[20],"in":[21,88],"the":[22,31,64,74,89],"wavelet":[23,90],"domain.":[24],"The":[25],"specific":[26],"application":[27],"interest":[29],"is":[30,39],"when":[35],"cellular":[37],"phone":[38],"used":[40],"within":[41],"moving":[43],"vehicle.":[44],"Subjective":[45],"tests":[46],"carried":[47],"out":[48],"additive":[52],"vehicle":[53],"noise":[54],"at":[55],"signal-to-noise":[57],"ratio":[58],"10":[60],"dB":[61],"indicate":[62],"that":[63],"transform-based":[66],"Wiener":[67,93],"filtering":[68],"approach":[69],"works":[70],"well.":[71],"In":[72],"particular,":[73],"technique":[75],"was":[76,99],"compared":[77],"to":[78,101],"several":[79],"other":[80,104],"common":[81],"methods":[83],"such":[84],"as":[85],"thresholding":[86],"applied":[87],"domain,":[91],"FFT-based":[92],"filtering,":[94],"and":[95,98],"spectral":[96],"subtraction,":[97],"found":[100],"outperform":[102],"these":[103],"techniques.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
