{"id":"https://openalex.org/W4236304312","doi":"https://doi.org/10.1109/eit.2014.6871813","title":"Audio watermarking using bit modification of voiced or unvoiced segments","display_name":"Audio watermarking using bit modification of voiced or unvoiced segments","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W4236304312","doi":"https://doi.org/10.1109/eit.2014.6871813"},"language":"en","primary_location":{"id":"doi:10.1109/eit.2014.6871813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2014.6871813","pdf_url":null,"source":{"id":"https://openalex.org/S4393918193","display_name":"IEEE International Conference on Electro Information Technology","issn_l":"2154-0357","issn":["2154-0357"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Electro/Information Technology","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/A5016676826","display_name":"Dongjian Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dongjian Cai","raw_affiliation_strings":["Electrical and Computer Engineering Department, Purdue University Calumet, Hammond, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Purdue University Calumet, Hammond, USA","institution_ids":["https://openalex.org/I117015748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111236896","display_name":"K. Gopalan","orcid":null},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaliappan Gopalan","raw_affiliation_strings":["Electrical and Computer Engineering Department, Purdue University Calumet, Hammond, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Purdue University Calumet, Hammond, USA","institution_ids":["https://openalex.org/I117015748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016676826"],"corresponding_institution_ids":["https://openalex.org/I117015748"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.41438703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"491","last_page":"494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking 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/T10388","display_name":"Advanced Steganography and Watermarking 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/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"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/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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/watermark","display_name":"Watermark","score":0.8858977556228638},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.8590537905693054},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8157329559326172},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.750848650932312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7283390164375305},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.6230776906013489},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5325668454170227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35345762968063354},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0962393581867218},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.05951651930809021}],"concepts":[{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.8858977556228638},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8590537905693054},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8157329559326172},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.750848650932312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7283390164375305},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.6230776906013489},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5325668454170227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35345762968063354},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0962393581867218},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.05951651930809021},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/eit.2014.6871813","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit.2014.6871813","pdf_url":null,"source":{"id":"https://openalex.org/S4393918193","display_name":"IEEE International Conference on Electro Information Technology","issn_l":"2154-0357","issn":["2154-0357"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Electro/Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1834808305","https://openalex.org/W1969548092","https://openalex.org/W2017550380","https://openalex.org/W2059193620","https://openalex.org/W2128301448","https://openalex.org/W2152474465","https://openalex.org/W4292013685","https://openalex.org/W6605041107","https://openalex.org/W6638734699"],"related_works":["https://openalex.org/W2137394636","https://openalex.org/W2358993821","https://openalex.org/W1516446231","https://openalex.org/W2098152888","https://openalex.org/W1559740347","https://openalex.org/W2040356834","https://openalex.org/W2080353903","https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W2361184779"],"abstract_inverted_index":{"A":[0],"method":[1],"of":[2,57],"audio":[3],"watermark":[4,34],"embedding":[5,40,52],"by":[6,67],"sample":[7],"bit":[8,87],"modification":[9,88],"directly":[10],"in":[11,21,44],"the":[12,49,58],"time":[13],"domain":[14],"is":[15],"proposed.":[16],"Five":[17],"maximum":[18],"consecutive":[19],"samples":[20],"each":[22],"voiced":[23],"or":[24],"unvoiced":[25,50],"segments":[26],"are":[27,30,61],"located":[28],"and":[29,46,73],"embedded":[31,78],"with":[32],"a":[33,36,85],"using":[35],"key.":[37],"Voiced":[38],"segment":[39,51],"has":[41,53],"better":[42,62],"performance":[43],"robustness":[45,76],"imperceptibility":[47],"while":[48],"higher":[54,75],"payload.":[55],"Both":[56],"proposed":[59],"methods":[60],"on":[63],"imperceptibility,":[64],"as":[65],"measured":[66],"enhanced":[68],"modified":[69],"Bark":[70],"spectrum":[71],"distortion,":[72],"have":[74],"to":[77,84],"data":[79],"under":[80],"noise-added":[81],"conditions":[82],"compared":[83],"similar":[86],"method.":[89]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
