{"schema":"record/v1","id":"art_01M5NCJXB0R3SXYGHTKC4ZE827","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What does ElevenLabs Professional Voice Cloning require for training audio (hours, level, distance, noise, single speaker, verification)?","summary":"Problem: prepare a dataset to fine-tune a high-fidelity clone of a narrator. Conditions: ElevenLabs Professional Voice Cloning (PVC) docs fetched 23 Oct 2026; paid plans with PVC slots. Method (docs): use one speaking voice only; style in the samples is replicated, so record in the delivery style you will use (an audiobook voice should be trained on reading); use the language you will mainly need. Amount: 'bare minimum' 30 minutes, 2-3 hours for the best result; total runtime matters, not sample count. Level: roughly -23 dB to -18 dB RMS with a true peak of -3 dB. Mic: any microphone works, but XLR into an audio interface is recommended; distance about two fists from the mic; record in an acoustically treated room (a thick duvet can make a temporary space); no background music or noise; no singing. Processing options in the app can remove background noise or split speakers, but the guidance is to feed clean audio. Verification: verify with the same or similar equipment and a similar...","status":"active","body":{"text":"Problem: prepare a dataset to fine-tune a high-fidelity clone of a narrator. Conditions: ElevenLabs Professional Voice Cloning (PVC) docs fetched 23 Oct 2026; paid plans with PVC slots. Method (docs): use one speaking voice only; style in the samples is replicated, so record in the delivery style you will use (an audiobook voice should be trained on reading); use the language you will mainly need. Amount: 'bare minimum' 30 minutes, 2-3 hours for the best result; total runtime matters, not sample count. Level: roughly -23 dB to -18 dB RMS with a true peak of -3 dB. Mic: any microphone works, but XLR into an audio interface is recommended; distance about two fists from the mic; record in an acoustically treated room (a thick duvet can make a temporary space); no background music or noise; no singing. Processing options in the app can remove background noise or split speakers, but the guidance is to feed clean audio. Verification: verify with the same or similar equipment and a similar tone to the samples. Training takes roughly 3-6 hours. Why it matters: PVC copies artifacts and unwanted audio present in the samples. Failure modes: reverb or noise baked into the clone; mixed speakers; an inconsistent chain across sessions. Limitations: the same page says both '30 minutes minimum' and 'at least an hour ... ideally close to three hours'; verify the current figure in the app.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Internal inconsistency on minimum duration (30 min vs 1 hour). Plan availability and training time are as stated by the page and may change.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://elevenlabs.io/docs/eleven-creative/voices/voice-cloning/professional-voice-cloning","note":"Length; Level; Microphone distance; Quality; Upload"}]},"categories":["T07","T13"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://elevenlabs.io/docs/eleven-creative/voices/voice-cloning/professional-voice-cloning","claim":"Problem: prepare a dataset to fine-tune a high-fidelity clone of a narrator. Conditions: ElevenLabs Professional Voice Cloning (PVC) docs fetched 23 Oct 2026; paid plans with PVC slots. Method (docs): use one speaking voice only; style in the samples is replicated, so record in the delivery style you will use (an audiobook voice should be trained on reading); use the language you will mainly need. Amount: 'bare minimum' 30 minutes, 2-3 hours for the best result; total runtime matters, not sample count. Level: roughly -23 dB to -18 dB RMS with a true peak of -3 dB. Mic: any microphone works, but XLR into an audio interface is recommended; distance about two fists from the mic; record in an acoustically treated room (a thick duvet can make a temporary space); no background music or noise; no singing. Processing options in the app can remove background noise or split speakers, but the guidance is to feed clean audio. Verification: verify with the same or similar equipment and a similar tone to the samples. Training takes roughly 3-6 hours. Why it matters: PVC copies artifacts and unwanted audio present in the samples. Failure modes: reverb or noise baked into the clone; mixed speakers; an inconsistent chain across sessions. Limitations: the same page says both '30 minutes minimum' and 'at least an hour ... ideally close to three hours'; verify the current figure in the app.","locator":"Length; Level; Microphone distance; Quality; Upload","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-cb3ca2dac0b83ee36c79aea032ac9e415e2f68af/record.json#p-cb3ca2dac0b83ee36c79aea032ac9e415e2f68af/record","import_batch_id":"pipe-47f910fabc2093ac0365f3465e236d7d235e6ae5","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-47f910fabc2093ac0365f3465e236d7d235e6ae5","original":{"body":{"text":"Problem: prepare a dataset to fine-tune a high-fidelity clone of a narrator. Conditions: ElevenLabs Professional Voice Cloning (PVC) docs fetched 23 Oct 2026; paid plans with PVC slots. Method (docs): use one speaking voice only; style in the samples is replicated, so record in the delivery style you will use (an audiobook voice should be trained on reading); use the language you will mainly need. Amount: 'bare minimum' 30 minutes, 2-3 hours for the best result; total runtime matters, not sample count. Level: roughly -23 dB to -18 dB RMS with a true peak of -3 dB. Mic: any microphone works, but XLR into an audio interface is recommended; distance about two fists from the mic; record in an acoustically treated room (a thick duvet can make a temporary space); no background music or noise; no singing. Processing options in the app can remove background noise or split speakers, but the guidance is to feed clean audio. Verification: verify with the same or similar equipment and a similar tone to the samples. Training takes roughly 3-6 hours. Why it matters: PVC copies artifacts and unwanted audio present in the samples. Failure modes: reverb or noise baked into the clone; mixed speakers; an inconsistent chain across sessions. Limitations: the same page says both '30 minutes minimum' and 'at least an hour ... ideally close to three hours'; verify the current figure in the app.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Internal inconsistency on minimum duration (30 min vs 1 hour). Plan availability and training time are as stated by the page and may change.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://elevenlabs.io/docs/eleven-creative/voices/voice-cloning/professional-voice-cloning","note":"Length; Level; Microphone distance; Quality; Upload"}]},"tags":[],"type":"article","links":[],"title":"What does ElevenLabs Professional Voice Cloning require for training audio (hours, level, distance, noise, single speaker, verification)?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Problem: prepare a dataset to fine-tune a high-fidelity clone of a narrator. Conditions: ElevenLabs Professional Voice Cloning (PVC) docs fetched 23 Oct 2026; paid plans with PVC slots. Method (docs): use one speaking voice only; style in the samples is replicated, so record in the delivery style you will use (an audiobook voice should be trained on reading); use the language you will mainly need. Amount: 'bare minimum' 30 minutes, 2-3 hours for the best result; total runtime matters, not sample count. Level: roughly -23 dB to -18 dB RMS with a true peak of -3 dB. Mic: any microphone works, but XLR into an audio interface is recommended; distance about two fists from the mic; record in an acoustically treated room (a thick duvet can make a temporary space); no background music or noise; no singing. Processing options in the app can remove background noise or split speakers, but the guidance is to feed clean audio. Verification: verify with the same or similar equipment and a similar...","evidence":{"claims":[{"url":"https://elevenlabs.io/docs/eleven-creative/voices/voice-cloning/professional-voice-cloning","claim":"Problem: prepare a dataset to fine-tune a high-fidelity clone of a narrator. Conditions: ElevenLabs Professional Voice Cloning (PVC) docs fetched 23 Oct 2026; paid plans with PVC slots. Method (docs): use one speaking voice only; style in the samples is replicated, so record in the delivery style you will use (an audiobook voice should be trained on reading); use the language you will mainly need. Amount: 'bare minimum' 30 minutes, 2-3 hours for the best result; total runtime matters, not sample count. Level: roughly -23 dB to -18 dB RMS with a true peak of -3 dB. Mic: any microphone works, but XLR into an audio interface is recommended; distance about two fists from the mic; record in an acoustically treated room (a thick duvet can make a temporary space); no background music or noise; no singing. Processing options in the app can remove background noise or split speakers, but the guidance is to feed clean audio. Verification: verify with the same or similar equipment and a similar tone to the samples. Training takes roughly 3-6 hours. Why it matters: PVC copies artifacts and unwanted audio present in the samples. Failure modes: reverb or noise baked into the clone; mixed speakers; an inconsistent chain across sessions. Limitations: the same page says both '30 minutes minimum' and 'at least an hour ... ideally close to three hours'; verify the current figure in the app.","locator":"Length; Level; Microphone distance; Quality; Upload","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T07","T13"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":2,"topic_ids":["CAT:T06.AIC.09","CAT:T13.02"],"confidence":"Internal inconsistency on minimum duration (30 min vs 1 hour). Plan availability and training time are as stated by the page and may change.","limitations":["Internal inconsistency on minimum duration (30 min vs 1 hour). Plan availability and training time are as stated by the page and may change.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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