{"id":"https://openalex.org/W7164342920","doi":"https://doi.org/10.48550/arxiv.2606.11828","title":"Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions","display_name":"Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164342920","doi":"https://doi.org/10.48550/arxiv.2606.11828"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.11828","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11828","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.11828","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134286821","display_name":"Haiyun Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Haiyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134355982","display_name":"Shuhai Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Shuhai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138394467","display_name":"Zhisheng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhisheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055370974","display_name":"Jingran Xie","orcid":"https://orcid.org/0009-0007-2050-263X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Jingran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138411456","display_name":"Xiaofeng Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Xiaofeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006711084","display_name":"Hanyang Peng","orcid":"https://orcid.org/0000-0002-9715-473X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Hanyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138400641","display_name":"Zhiyong Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zhiyong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.37380000948905945,"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":0.37380000948905945,"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":0.13330000638961792,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.0812000036239624,"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/robustness","display_name":"Robustness (evolution)","score":0.8532000184059143},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.8274000287055969},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.7372999787330627},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5031999945640564},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.4185999929904938},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.3727000057697296}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8532000184059143},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8274000287055969},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.7372999787330627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7017999887466431},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6061999797821045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393000245094299},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4318000078201294},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.29670000076293945},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27219998836517334}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.11828","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11828","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.11828","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11828","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Audio":[0],"watermarking":[1,64],"aims":[2],"to":[3,18,39,80,92,126],"embed":[4],"identifiable":[5],"information":[6],"into":[7,100],"audio":[8],"while":[9,83,129],"remaining":[10],"imperceptible.":[11],"Existing":[12],"methods":[13],"adopt":[14],"high-fidelity,":[15],"low-energy":[16],"designs":[17],"preserve":[19],"perceptual":[20,111],"quality,":[21],"but":[22,53],"the":[23,40,68,71,101,104],"resulting":[24],"watermarks":[25],"lack":[26],"robustness":[27,35,52,82,132],"under":[28,133],"suppression":[29],"by":[30],"speech":[31,73,90,138],"reconstruction":[32,139],"models.":[33,140],"Improving":[34],"is":[36],"challenging":[37],"due":[38],"inherent":[41],"robustness-fidelity":[42],"trade-off":[43],"in":[44],"existing":[45,127],"designs,":[46],"where":[47],"increasing":[48],"watermark":[49,69,78,96],"energy":[50,79],"improves":[51],"reduces":[54],"fidelity.":[55],"To":[56],"address":[57],"this":[58],"problem,":[59],"we":[60],"propose":[61],"a":[62,88,94],"feature-aligned":[63],"method":[65,122],"that":[66,120],"aligns":[67],"with":[70,107],"original":[72],"feature":[74],"distribution,":[75],"allowing":[76],"higher":[77],"improve":[81],"preserving":[84],"imperceptibility.":[85],"We":[86],"use":[87],"pretrained":[89],"codec":[91],"generate":[93],"pseudo-speech":[95],"and":[97,110,136],"fuse":[98],"it":[99],"spectrogram":[102],"of":[103],"input":[105],"audio,":[106],"VAD":[108],"loss":[109],"losses":[112],"guiding":[113],"embedding":[114],"within":[115],"voiced":[116],"regions.":[117],"Experiments":[118],"show":[119],"our":[121],"maintains":[123],"imperceptibility":[124],"comparable":[125],"approaches":[128],"substantially":[130],"improving":[131],"both":[134],"seen":[135],"unseen":[137]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-12T00:00:00"}