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Many SC frameworks require parallel corpora,\nphonetic alignments, or explicit frame-wise correspondence for learning\nconversion functions or for synthesizing a target spectrum with the aid of\nalignments. However, these requirements gravely limit the scope of practical\napplications of SC due to scarcity or even unavailability of parallel corpora.\nWe propose an SC framework based on variational auto-encoder which enables us\nto exploit non-parallel corpora. The framework comprises an encoder that learns\nspeaker-independent phonetic representations and a decoder that learns to\nreconstruct the designated speaker. It removes the requirement of parallel\ncorpora or phonetic alignments to train a spectral conversion system. We report\nobjective and subjective evaluations to validate our proposed method and\ncompare it to SC methods that have access to aligned corpora.","url_abs":"http://arxiv.org/abs/1610.04019v1","url_pdf":"http://arxiv.org/pdf/1610.04019v1.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":"voice-conversion-from-non-parallel-corpora","repo_url":"https://github.com/JeremyCCHsu/vae-npvc","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"voice-conversion-from-non-parallel-corpora","repo_url":"https://github.com/JeremyCCHsu/vae4vc","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"voice-conversion-from-non-parallel-corpora","repo_url":"https://github.com/vsimkus/voice-conversion","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"voice-conversion-from-non-parallel-corpora","repo_url":"https://github.com/jackaduma/CycleGAN-VC2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"voice-conversion-from-non-parallel-corpora","repo_url":"https://github.com/nafiuny/ICRCycleGAN-VC","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"voice-conversion","task_name":"Voice Conversion"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1610.04019","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1610.04019"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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