{"id":"https://openalex.org/W2897198421","doi":"https://doi.org/10.1145/3267357.3267371","title":"Mechanism and Implementation of Watermarked Sample Scanning Method for Speech Data Tampering Detection","display_name":"Mechanism and Implementation of Watermarked Sample Scanning Method for Speech Data Tampering Detection","publication_year":2018,"publication_date":"2018-01-15","ids":{"openalex":"https://openalex.org/W2897198421","doi":"https://doi.org/10.1145/3267357.3267371","mag":"2897198421"},"language":"en","primary_location":{"id":"doi:10.1145/3267357.3267371","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267357.3267371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Workshop on Multimedia Privacy and Security","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/A5113750319","display_name":"Xuping Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xuping Huang","raw_affiliation_strings":["Meiji University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meiji University, Tokyo, Japan","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113750319"],"corresponding_institution_ids":["https://openalex.org/I16656306"],"apc_list":null,"apc_paid":null,"fwci":0.104,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45825425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":1.0,"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":1.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9997000098228455,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9980000257492065,"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/huffman-coding","display_name":"Huffman coding","score":0.7848448157310486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7811272144317627},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.7032573819160461},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5476565957069397},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.5299274325370789},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5020251274108887},{"id":"https://openalex.org/keywords/scrambling","display_name":"Scrambling","score":0.4977834224700928},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.4611622989177704},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44220787286758423},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.4244881868362427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35987234115600586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2988136112689972},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.21846643090248108}],"concepts":[{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.7848448157310486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7811272144317627},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.7032573819160461},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5476565957069397},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.5299274325370789},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5020251274108887},{"id":"https://openalex.org/C182548165","wikidata":"https://www.wikidata.org/wiki/Q2261483","display_name":"Scrambling","level":2,"score":0.4977834224700928},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.4611622989177704},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44220787286758423},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.4244881868362427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35987234115600586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2988136112689972},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.21846643090248108},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3267357.3267371","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267357.3267371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Workshop on Multimedia Privacy and Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1129529249","display_name":"Privacy preserved acoustic-falsification detection and speaker verification","funder_award_id":"18K18052","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7580533386","display_name":null,"funder_award_id":"KAKENHI JP18K18052","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1486653827","https://openalex.org/W1770846012","https://openalex.org/W1966130564","https://openalex.org/W2026475617","https://openalex.org/W2060043685","https://openalex.org/W2102628867","https://openalex.org/W2146675392","https://openalex.org/W2148351147","https://openalex.org/W2182652268","https://openalex.org/W2335936016","https://openalex.org/W2734400482","https://openalex.org/W4238737411","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2072037244","https://openalex.org/W3203504906","https://openalex.org/W2497446005","https://openalex.org/W2389786244","https://openalex.org/W3116262076","https://openalex.org/W2787511935","https://openalex.org/W2171676767","https://openalex.org/W4312890355","https://openalex.org/W83713408","https://openalex.org/W4293373802"],"abstract_inverted_index":{"The":[0,187],"integrity":[1],"and":[2,68,78,111,124,130,164,174,182,195,203],"reliability":[3],"of":[4,25,73,136,172,201,215],"speech":[5,61,82,152],"data":[6,27,62,83,194,198],"have":[7],"been":[8],"important":[9],"issues":[10],"to":[11,20,47,55,91,107],"probative":[12],"use.":[13],"Watermarking":[14],"technologies":[15],"supplies":[16],"an":[17,143,158,176],"alternative":[18],"solution":[19],"guarantee":[21],"the":[22,23,59,69,81,131,134,213,216],"authenticity":[24],"multiple":[26],"besides":[28],"digital":[29,36,60],"signature.":[30],"This":[31],"work":[32],"proposes":[33],"a":[34,40,140,149],"novel":[35],"watermarking":[37],"based":[38],"on":[39,119],"reversible":[41],"compression":[42,87],"algorithm":[43,88],"with":[44,139,142,157,175],"sample":[45,102],"scanning":[46],"detect":[48,56],"tampering":[49,57,137],"in":[50,100,170,199,209],"time":[51],"domain.":[52],"In":[53],"order":[54],"precisely,":[58],"is":[63,76,89,155,206],"divided":[64],"into":[65,80],"length-fixed":[66],"frames":[67],"content-based":[70],"hash":[71],"information":[72],"each":[74,92,101],"frame":[75],"calculated":[77],"embedded":[79],"for":[84,114,148,162,167,180,184],"verification.":[85],"Huffman":[86],"applied":[90],"four":[93],"sampling":[94],"bits":[95],"from":[96],"least":[97],"significant":[98],"bit":[99,188],"after":[103],"pulse-code":[104],"modulation":[105],"processing":[106],"achieve":[108],"low":[109],"distortion":[110],"high":[112],"capacity":[113],"hiding":[115,218],"payload.":[116],"Experimental":[117],"experiments":[118],"audio":[120],"quality,":[121],"detection":[122,138],"precision":[123,141],"robustness":[125,214],"towards":[126],"attacks":[127],"are":[128],"taken,":[129],"results":[132],"show":[133],"effectiveness":[135],"error":[144,189],"around":[145],"0.032":[146],"s":[147,151],"10":[150],"clip.":[153],"Distortion":[154],"imperceptible":[156],"average":[159,177],"22.068":[160],"dB":[161,166],"Huffman-based":[163,181],"24.139":[165],"intDCT-based":[168,185],"method":[169],"terms":[171],"signal-to-noise,":[173],"MOS":[178],"3.478":[179],"4.378":[183],"method.":[186,219],"rate":[190],"(BER)":[191],"between":[192],"stego":[193,197],"attacked":[196],"both":[200],"time-domain":[202],"frequency":[204],"domain":[205],"approximate":[207],"28.6%":[208],"average,":[210],"which":[211],"indicates":[212],"proposed":[217]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
