{"id":"https://openalex.org/W3094407996","doi":"https://doi.org/10.1109/icccnt49239.2020.9225399","title":"Covert speech communication through audio steganography using DWT and SVD","display_name":"Covert speech communication through audio steganography using DWT and SVD","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3094407996","doi":"https://doi.org/10.1109/icccnt49239.2020.9225399","mag":"3094407996"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt49239.2020.9225399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","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":null,"display_name":"Praveen Kumar Kasetty","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Praveen Kumar Kasetty","raw_affiliation_strings":["National Institute of Technology Puducherry, Karaikal, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Puducherry, Karaikal, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071372208","display_name":"Aniruddha Kanhe","orcid":"https://orcid.org/0000-0002-3674-2968"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aniruddha Kanhe","raw_affiliation_strings":["National Institute of Technology Puducherry, Karaikal, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Puducherry, Karaikal, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0981,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.41853718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9998000264167786,"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":0.9991000294685364,"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":0.8360333442687988},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7365525364875793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6713003516197205},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6661827564239502},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6275672316551208},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4834214448928833},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.47749635577201843},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.46486908197402954},{"id":"https://openalex.org/keywords/steganography","display_name":"Steganography","score":0.45745742321014404},{"id":"https://openalex.org/keywords/covert","display_name":"Covert","score":0.4531044661998749},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4297488331794739},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.31466352939605713},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3011476397514343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2734251022338867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2712426483631134},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2294396162033081}],"concepts":[{"id":"https://openalex.org/C103734657","wikidata":"https://www.wikidata.org/wiki/Q2739975","display_name":"PESQ","level":4,"score":0.8360333442687988},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7365525364875793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6713003516197205},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6661827564239502},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6275672316551208},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4834214448928833},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.47749635577201843},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.46486908197402954},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.45745742321014404},{"id":"https://openalex.org/C2779338814","wikidata":"https://www.wikidata.org/wiki/Q5179285","display_name":"Covert","level":2,"score":0.4531044661998749},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4297488331794739},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.31466352939605713},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3011476397514343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2734251022338867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2712426483631134},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2294396162033081},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt49239.2020.9225399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1505912576","https://openalex.org/W1839588817","https://openalex.org/W1891439606","https://openalex.org/W2031935030","https://openalex.org/W2116186224","https://openalex.org/W2133023159","https://openalex.org/W2138304672","https://openalex.org/W2140118868","https://openalex.org/W2140828385","https://openalex.org/W2278611430","https://openalex.org/W2339254090","https://openalex.org/W2750719386","https://openalex.org/W2756734073","https://openalex.org/W2790228955","https://openalex.org/W2807071316","https://openalex.org/W2903369303","https://openalex.org/W2939401512","https://openalex.org/W2942933909","https://openalex.org/W2972936736","https://openalex.org/W2996665073","https://openalex.org/W2999249171","https://openalex.org/W3015272235","https://openalex.org/W4254956354","https://openalex.org/W6775341572"],"related_works":["https://openalex.org/W2058482658","https://openalex.org/W3016109656","https://openalex.org/W1973895194","https://openalex.org/W3135613579","https://openalex.org/W4388016426","https://openalex.org/W1980687383","https://openalex.org/W4386746628","https://openalex.org/W2546593254","https://openalex.org/W2166831097","https://openalex.org/W3209446892"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,9,40],"covert":[4],"speech":[5,31,87,96],"communication":[6],"technique":[7],"through":[8],"semi-blind":[10],"audio":[11,45,114,140],"steganography":[12],"algorithm":[13,76],"using":[14,48],"discrete":[15],"wavelet":[16],"transform":[17],"(DWT)":[18],"and":[19,52,66,82,103,135,143],"singular":[20,36],"value":[21],"decomposition":[22],"(SVD)":[23],"is":[24,46,54,77,97,115,121,132,141],"proposed.":[25],"This":[26],"method":[27],"securely":[28],"transmits":[29],"the":[30,69,74,94,112,128],"signal":[32],"by":[33,79],"embedding":[34,53],"its":[35],"values":[37],"(SV)":[38],"in":[39,56],"cover":[41,44],"audio.":[42],"The":[43,71,89],"decomposed":[47],"fifth":[49],"level":[50],"DWT":[51],"performed":[55],"SV":[57],"matrix":[58],"of":[59,73,106,137],"approximate":[60],"coefficients":[61],"to":[62,68,117],"achieve":[63],"good":[64],"imperceptibility":[65,81],"robustness":[67,83],"attacks.":[70,119],"performance":[72],"proposed":[75],"evaluated":[78],"conducting":[80],"tests":[84],"on":[85],"various":[86,118],"signals.":[88],"experimental":[90],"results":[91],"show":[92],"that":[93,123],"secret":[95,139],"reconstructed":[98,138],"with":[99],"high":[100],"SNR,":[101],"correlation":[102,129],"Perceptual":[104],"Evaluation":[105],"Speech":[107],"Quality":[108],"(PESQ)":[109],"score":[110],"even":[111],"stego":[113],"subjected":[116],"It":[120],"observed":[122],"under":[124],"no":[125],"attack":[126],"conditions":[127],"coefficient":[130],"(NCC)":[131],"1.0,":[133],"SNR":[134],"PESQ":[136],"70.58":[142],"4.49,":[144],"respectively.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
