Clone yourself with Azure Custom Neural Voice
summary
Shows how to use Azure Custom Neural Voice to build a usable voice clone: the free 20–50 utterances “light” flow records in-browser (about 15 minutes) and yields passable results from laptop mics, while the gated Pro route needs 300–2,000 utterances, pro WAVs or long audio, a talent statement and can take ~24 hours to train. Microsoft reports a ~4.1 MOS / ~82% match; demos work best from clean call or studio audio, cost about $52 per training hour plus a deployed endpoint at ~$4/hour, and requires talent consent.
AI-written summary · about
chapters (15)
- 0:00Voice cloning with AI
- 7:26Why clone voice with Azure
- 12:22Speech and acoustics basics
- 17:38ML for voice synthesis
- 24:18Azure Custom Neural Voice
- 31:00Training voice model light
- 36:35Demo voice training Speech Studio
- 42:57High-quality voice training tips
- 44:43Handling accents and dialects
- 49:18Training non-native speakers
- 52:57Pro plan training use cases
- 57:36Lexicon files pronunciation
- 1:02:18Voice use cases future
- 1:04:47Pricing deployment options
- 1:06:11Q&A
related talks
58mClone yourself with Azure Custom Neural Voice
56mClone yourself with Azure Custom Neural Voice
46mEnhance your solutions with new Azure AI products and features
25mConversation with Sean King (SVP, GM at Veritone) and @ianutile
51mCan AI Face Your (Potential) Customers?
52mGoing Full Duplex - Building Apps for Speech
49mMake your applications intelligent (...)
17mServing Voice AI at Scale
