README.md

metadata

title: VoiceForge Studio
emoji: 🎙️
colorFrom: indigo
colorTo: purple
sdk: gradio
app_port: 7860
pinned: false

🎙️ VoiceForge Studio

A professional, modern web application for Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) powered by the latest open-source models.

Features

🗣️ Text-to-Speech

• Voice Cloning — Clone any voice from a reference audio sample
• Voice Design — Create unique voices from text descriptions
• Emotion Control — Adjust emotional tone (happy, sad, angry, etc.)
• Multi-speaker — Generate conversations with multiple speakers
• Multiple Models: Qwen3-TTS, VibeVoice, Voxtral, IndexTTS-2, OmniVoice

🎙️ Speech-to-Text (ASR)

• Word-Level Timestamps — Precise timing for every single word
• Line-Level Timestamps — Chunk-level timing for readability
• Speaker Diarization — Identify who spoke when (pyannote 3.1)
• Speaker Identification — Automatic speaker counting and labeling
• Multiple Models: Whisper Turbo, Qwen3-ASR, VibeVoice-ASR

📦 Batch Processing

• Process multiple audio files at once
• Export results as JSON
• Automatic diarization across all files

Models Supported

Type	Model	Size	Key Features
TTS	Qwen3-TTS	1.7B	Voice Design + Clone, 12 languages
TTS	VibeVoice 1.5B	1.5B	Long-form 90min, 4 speakers
TTS	VibeVoice Realtime	0.5B	Streaming, low latency
TTS	Voxtral 4B	4B	vLLM, OpenAI-compatible
TTS	IndexTTS-2	—	Emotion control (8 dims)
TTS	OmniVoice	—	OpenAI-compatible API
ASR	Whisper Turbo	—	Word timestamps, 99 langs
ASR	Qwen3-ASR 1.7B	1.7B	Forced alignment, line stamps
ASR	Qwen3-ASR 0.6B	0.6B	Fast, lightweight
ASR	VibeVoice-ASR	—	Native diarization + timestamps
Diarization	pyannote 3.1	—	Speaker diarization

Usage

1. Select a TTS or ASR model from the dropdown
2. For TTS: Enter text, optionally upload a reference voice for cloning
3. For ASR: Upload audio, choose timestamp granularity and diarization options
4. Click Generate / Transcribe and view the beautiful output

License

Models follow their respective licenses (MIT, Apache-2.0, etc.)