AI Stem Separation
AI Speech Separation
Separate overlapping speakers from a recording with AI — pull one voice out of a two-person conversation.
About this tool
Speech separation (a.k.a. the "cocktail party problem") isolates a target speaker when multiple people talk at once.
It is invaluable for meetings, interviews, and legal or medical transcripts where who-said-what matters.
How to Speech Separation with AI
- Upload the conversation. Add the multi-speaker recording.
- Choose speech separation. Select the "separate speakers" preset.
- Export each voice. Download per-speaker audio files.
Common Uses for Speech Separation
- Meeting notes. Attribute lines to the right person.
- Interview cleanup. Split host and guest for cleaner edits.
- Transcription. Feed one clean voice to your STT engine.
FAQ
- How many speakers?
- Most tools handle 2–4; more overlapping voices get harder and noisier.
- Needs a sample of the voice?
- Some diarization tools learn the target from the clip; others need a reference.
- Accents and languages?
- Modern models are largely language-agnostic for separation, but STT afterward is not.
Want to separate stems? Upload a track and download clean, royalty-free stems in seconds. Free tier included.