LocalClaw/TTS/EmotiVoice
Local TTS model

EmotiVoice

Catalogue summary: Multi-voice TTS with granular emotion control. Choose from 2000+ built-in voices and specify emotions like happy, sad, angry, or surprised per sentence.

Repository editorial metadata; verify comparative claims in the linked upstream material.

GPU recommendedtext-to-speech generation2 languagesApache 2.0
Choose an app

Start with Recommended. No terminal commands are shown.

Compare speech models
Open official setupRecommended verified starting pointOpen Python packageVerified package page without exposing a commandCheck my machineOptional: verify the fit with your saved hardware
Catalogue quality
8.5/10
Catalogue speed
7.5/10
Model size
1.5 GB
Voices
2000+ built-in voices

Can EmotiVoice run locally?

EmotiVoice can generate speech locally for private voice workflows. Use the verified setup options on this page; no terminal command is required to choose the right path.

Apache 2.0 license. Still verify upstream usage notes before shipping.

Upstream source
emotionmultilingualcontrollable

Audio profile

Cat. quality
8.5
Cat. speed
7.5
Audio
8.2

Best fit

EmotiVoice is best for multilingual local speech generation.

Hardware: gpucpu

Model details

Type
Local TTS model
Family
emotivoice
Latency
low
Formats
pytorch
Languages
en, zh
Context
Emotion: happy, sad, angry, surprised

Install locally

01
Check runtimeConfirm the backend supports pytorch on your machine.
02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.
03
Test locallyRun a short private audio prompt before moving into production workflows.

Good for

  • text-to-speech generation
  • GPU recommended local workflows
  • emotion, multilingual, controllable

Watch before shipping

  • Validate pronunciation, latency and artifacts with your own voice samples.
  • Review the upstream license and acceptable-use notes.
  • Benchmark on your target CPU, Apple Silicon or GPU setup.

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