{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/spoofing-speaker-verification-systems-with","title":"Spoofing Speaker Verification Systems with Deep Multi-speaker Text-to-speech Synthesis","arxiv_id":"1910.13054","date":"2019-10-29","proceeding":null,"authors":[],"abstract":"This paper proposes a deep multi-speaker text-to-speech (TTS) model for\nspoofing speaker verification (SV) systems. The proposed model employs one\nnetwork to synthesize time-downsampled mel-spectrograms from text input and\nanother network to convert them to linear-frequency spectrograms, which are\nfurther converted to the time domain using the Griffin-Lim algorithm. Both\nnetworks are trained separately under the generative adversarial networks (GAN)\nframework. Spoofing experiments on two state-of-the-art SV systems (i-vectors\nand Google's GE2E) show that the proposed system can successfully spoof these\nsystems with a high success rate. Spoofing experiments on anti-spoofing systems\n(i.e., binary classifiers for discriminating real and synthetic speech) also\nshow a high spoof success rate when such anti-spoofing systems' structures are\nexposed to the proposed TTS system.","url_abs":"http://arxiv.org/abs/1910.13054v1","url_pdf":"http://arxiv.org/pdf/1910.13054v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"spoofing-speaker-verification-systems-with","repo_url":"https://github.com/MingruiYuan/SpoofSV","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"speaker-verification","task_name":"Speaker Verification"},{"task_slug":"speech-synthesis","task_name":"Speech Synthesis"},{"task_slug":"text-to-speech","task_name":"Text to Speech"},{"task_slug":"text-to-speech-synthesis","task_name":"Text-To-Speech Synthesis"},{"task_slug":"text-to-speech-1","task_name":"text-to-speech"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}