Audio & SpeechActive
nineninesix / kani-tts-2-en
kani-tts-2-en
Generates natural-sounding speech from text with support for multi-speaker voice cloning and fast inference capabilities.
Text to SpeechVoice CloneFast Inference
Model ID
kani-tts-2-en
Provider
nineninesix
Updated
1776068638
wiro playground—nineninesix/kani-tts-2-en
Updated 1776068638
Overview
Kani-TTS-2 is a text-to-speech model designed for fast inference and multi-speaker voice cloning. It generates natural-sounding speech from input text and supports reference audio for voice cloning.
What you can build
- Multi-character dialogue audio for games and animations
- Voice-over content with personalized speaker voices
- Automated podcast generation with custom voices
- Interactive voice assistants with distinct speaker identities
Inputs
- Dialogue: Text to generate audio from (with speaker tags like [S1], [S2])
- Speaker Reference Audios: Optional reference audio files for voice cloning (up to 5 speakers)
- Speaker Text Prompts: Optional text prompts corresponding to reference audios
- Text Normalize: Option to normalize input text for better pronunciation
Outputs
- Generated audio files in supported formats (.wav, .mp3, .m4a, .webm)
- Multi-speaker audio with distinct voice characteristics
Recommended settings
- Use reference audio files for consistent voice cloning
- Enable text normalization for improved pronunciation
- Test with short dialogue samples before full production
Limitations
- Voice cloning requires high-quality reference audio for best results
- Performance may vary with longer dialogue inputs
- Limited support for non-English languages
Safety & compliance
- Ensure all input text and audio references comply with copyright laws
- Use generated audio only for intended purposes
- Follow platform guidelines for audio content distribution
API quick start
Run kani-tts-2-en with a single API call.
POST https://api.wiro.ai/v1/Run/nineninesix/kani-tts-2-en
{
"prompt": "Grounded in evolutionary biology and psyc…",
"languageTag": "en_us",
"inputAudio": "https://your-cdn.com/input.mp3",
"inputEmbeddingSpeaker": "https://your-cdn.com/input.png"
}