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Voice identity
Case 3 reports 0.961 mean WavLM-SECS (max 0.975, N=10, one speaker, English, within-WavLM-family). ECAPA-TDNN EXP-1 cross-encoder validation pending. Not a parity claim against any published TTS system.
Chris Royse / leapable.ai
Measured proof - voice case, text case, pending audits
The commercial story is broad, but the measured research claims stay narrow: voice identity, style transfer, embedder counts, and pending audits.
01
Case 3 reports 0.961 mean WavLM-SECS (max 0.975, N=10, one speaker, English, within-WavLM-family). ECAPA-TDNN EXP-1 cross-encoder validation pending. Not a parity claim against any published TTS system.
02
The Shakespeare LoRA case is a public text artifact: bounded corpus, derived labels, model card, and known limits.
03
EXP-1 ECAPA-TDNN validation and EXP-2 pairwise-MI audit remain pending. The realized floor will be published beside the ceiling.
Watch on YouTube· 3:27
A short walkthrough of the voice-clone artifact and benchmark table. The public claim remains narrower than the video title on YouTube: 0.961 mean WavLM-SECS within-WavLM-family at N=10, one speaker, English; ECAPA-TDNN EXP-1 pending; not a comparison against published TTS systems.
Watch videoOpen the full video on YouTubeSend the audience, data type, target task, proof bar, and sharing limits. The first pass should stay bounded.