{"id":"https://openalex.org/W2081181568","doi":"https://doi.org/10.1109/icassp.2013.6639255","title":"Speech coding based on pitch synchrony and two-stage transformation","display_name":"Speech coding based on pitch synchrony and two-stage transformation","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2081181568","doi":"https://doi.org/10.1109/icassp.2013.6639255","mag":"2081181568"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5100452126","display_name":"Xiaoming Li","orcid":"https://orcid.org/0000-0002-3059-9793"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-ming Li","raw_affiliation_strings":["Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","Speech & Audio Signal Process. Lab., Beijing Univ. of Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Speech & Audio Signal Process. Lab., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070475244","display_name":"Changchun Bao","orcid":"https://orcid.org/0000-0002-5606-5343"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-chun Bao","raw_affiliation_strings":["Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","Speech & Audio Signal Process. Lab., Beijing Univ. of Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Speech & Audio Signal Process. Lab., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087492771","display_name":"W. Bastiaan Kleijn","orcid":"https://orcid.org/0000-0002-1973-3920"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"W.Bastiaan Kleijn","raw_affiliation_strings":["Beijing University of Technology, Beijing, CN","Speech & Audio Signal Process. Lab., Beijing Univ. of Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, CN","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Speech & Audio Signal Process. Lab., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19380527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"8159","last_page":"8163"},"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":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9966999888420105,"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/pesq","display_name":"PESQ","score":0.8728612661361694},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.7534811496734619},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7265443801879883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6691465377807617},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5032147765159607},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.4871194362640381},{"id":"https://openalex.org/keywords/codec2","display_name":"Codec2","score":0.4738847613334656},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.47275596857070923},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.45285892486572266},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.44492557644844055},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.4330718219280243},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.42778605222702026},{"id":"https://openalex.org/keywords/pitch-detection-algorithm","display_name":"Pitch detection algorithm","score":0.42344778776168823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2446642518043518},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2318859100341797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21593722701072693},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.13765767216682434},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07099482417106628}],"concepts":[{"id":"https://openalex.org/C103734657","wikidata":"https://www.wikidata.org/wiki/Q2739975","display_name":"PESQ","level":4,"score":0.8728612661361694},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.7534811496734619},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7265443801879883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691465377807617},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5032147765159607},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.4871194362640381},{"id":"https://openalex.org/C75217168","wikidata":"https://www.wikidata.org/wiki/Q1105653","display_name":"Codec2","level":4,"score":0.4738847613334656},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.47275596857070923},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.45285892486572266},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.44492557644844055},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.4330718219280243},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.42778605222702026},{"id":"https://openalex.org/C135622632","wikidata":"https://www.wikidata.org/wiki/Q7198851","display_name":"Pitch detection algorithm","level":3,"score":0.42344778776168823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2446642518043518},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2318859100341797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21593722701072693},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.13765767216682434},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07099482417106628},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6639255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1990992471","https://openalex.org/W2027735369","https://openalex.org/W2030757453","https://openalex.org/W2031614119","https://openalex.org/W2050921210","https://openalex.org/W2073431334","https://openalex.org/W2079985975","https://openalex.org/W2111002204","https://openalex.org/W2115942321","https://openalex.org/W2120410439","https://openalex.org/W2152707162","https://openalex.org/W2168913634","https://openalex.org/W2171760107","https://openalex.org/W2984425774"],"related_works":["https://openalex.org/W3211091508","https://openalex.org/W1990055248","https://openalex.org/W2031734417","https://openalex.org/W2164373835","https://openalex.org/W2104191455","https://openalex.org/W2005643124","https://openalex.org/W1967664370","https://openalex.org/W3140802561","https://openalex.org/W2156390878","https://openalex.org/W2105619341"],"abstract_inverted_index":{"In":[0,27],"this":[1],"paper,":[2],"an":[3],"effective":[4],"speech":[5,15],"coder":[6,71,111],"that":[7,34,72,108],"is":[8,25,43,60,69,73],"based":[9],"on":[10],"a":[11,31,40,47,70,76,91],"sparse":[12],"representation":[13,49,94],"of":[14,36,50,79],"by":[16],"exploiting":[17],"the":[18,28,51,64,109,113],"strong":[19],"dependencies":[20],"between":[21],"adjacent":[22],"pitch":[23,37],"cycles":[24],"proposed.":[26],"proposed":[29,110],"coder,":[30],"pitch-synchronous":[32],"processing":[33],"consists":[35],"warping":[38],"and":[39,89,102],"two-stage":[41],"transformation":[42],"used":[44],"to":[45],"achieve":[46],"compact":[48],"voiced":[52],"speech.":[53],"Power":[54],"spectral":[55],"density":[56],"preserving":[57],"quantization":[58],"(PSD-PQ)":[59],"adopted":[61],"for":[62],"quantizing":[63],"transform":[65],"coefficients.":[66],"The":[67],"result":[68],"efficient":[74],"over":[75],"wide":[77],"range":[78],"bit":[80],"rates:":[81],"it":[82],"approaches":[83],"perfect":[84],"reconstruction":[85],"with":[86],"increasing":[87],"rate,":[88],"has":[90],"parametric":[92],"signal":[93],"at":[95],"low":[96],"rates.":[97],"Both":[98],"objective":[99],"PESQ":[100],"results":[101],"subjective":[103],"A/B":[104],"listening":[105],"tests":[106],"show":[107],"outperforms":[112],"ITU-T":[114],"G.722.1":[115],"codec.":[116]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
