{"id":"https://openalex.org/W22266678","doi":"https://doi.org/10.21437/eurospeech.1997-435","title":"Wideband coding of speech using neural network gain adaptation","display_name":"Wideband coding of speech using neural network gain adaptation","publication_year":1997,"publication_date":"1997-09-22","ids":{"openalex":"https://openalex.org/W22266678","doi":"https://doi.org/10.21437/eurospeech.1997-435","mag":"22266678"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1997-435","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1997-435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th European Conference on Speech Communication and Technology (Eurospeech 1997)","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/A5013378365","display_name":"Cheung-Fat Chan","orcid":"https://orcid.org/0000-0002-8665-3971"},"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":true,"raw_author_name":"Cheung-Fat Chan","raw_affiliation_strings":["City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070744948","display_name":"Man-Tak Chu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Man-Tak Chu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013378365"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00294118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1507","last_page":"1510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.7600902318954468},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6766987442970276},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.6377777457237244},{"id":"https://openalex.org/keywords/wideband-audio","display_name":"Wideband audio","score":0.6051452159881592},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.534915030002594},{"id":"https://openalex.org/keywords/code-excited-linear-prediction","display_name":"Code-excited linear prediction","score":0.5309946537017822},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.4717346429824829},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.46206316351890564},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.443144291639328},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.438109427690506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27736955881118774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27563440799713135},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.1862710416316986},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09108942747116089},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.08644646406173706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600902318954468},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6766987442970276},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.6377777457237244},{"id":"https://openalex.org/C173391809","wikidata":"https://www.wikidata.org/wiki/Q2740189","display_name":"Wideband audio","level":5,"score":0.6051452159881592},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.534915030002594},{"id":"https://openalex.org/C105964291","wikidata":"https://www.wikidata.org/wiki/Q856184","display_name":"Code-excited linear prediction","level":4,"score":0.5309946537017822},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.4717346429824829},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.46206316351890564},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.443144291639328},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.438109427690506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27736955881118774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27563440799713135},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.1862710416316986},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09108942747116089},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.08644646406173706},{"id":"https://openalex.org/C87687168","wikidata":"https://www.wikidata.org/wiki/Q173114","display_name":"Digital audio","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.1997-435","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1997-435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th European Conference on Speech Communication and Technology (Eurospeech 1997)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1574090191","https://openalex.org/W1600046928","https://openalex.org/W1658344067","https://openalex.org/W2033896321","https://openalex.org/W2058097301","https://openalex.org/W2150617887","https://openalex.org/W2186435531"],"related_works":["https://openalex.org/W1570840316","https://openalex.org/W2014919663","https://openalex.org/W1586537451","https://openalex.org/W1551277881","https://openalex.org/W2051489660","https://openalex.org/W2155796184","https://openalex.org/W2129876624","https://openalex.org/W1042315724","https://openalex.org/W2534663775","https://openalex.org/W2121846146"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,14,33,43,50,65,73],"high-quality":[4],"wideband":[5,97],"speech":[6,62,98],"coder":[7,91],"is":[8,30,53,78],"proposed.":[9],"The":[10,23,46],"coding":[11,95],"structure":[12],"resembles":[13],"LD-CELP":[15],"coder,":[16],"however,":[17],"several":[18],"novel":[19],"improvements":[20],"are":[21],"made.":[22],"gain":[24,41],"adapter":[25],"for":[26],"the":[27,39,57,82,89],"stochastic":[28],"codebook":[29],"driven":[31],"by":[32],"neural":[34,51],"network":[35,52],"and":[36],"it":[37],"updates":[38],"excitation":[40],"in":[42,64],"sample-by-sample":[44],"fashion.":[45],"purpose":[47],"of":[48,61,72,96],"incorporating":[49],"to":[54,80],"exploit":[55],"both":[56],"intraand":[58],"inter-frame":[59],"correlation":[60],"signal":[63],"non-linear":[66],"manner.":[67],"A":[68],"psychoacoustic":[69],"model":[70],"instead":[71],"simple":[74],"perceptual":[75],"weighting":[76],"filter":[77],"used":[79],"shape":[81],"quantization":[83],"noise.":[84],"Simulation":[85],"result":[86],"shows":[87],"that":[88],"proposed":[90],"can":[92],"achieve":[93],"transparent":[94],"at":[99],"16":[100],"kbps.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}