TTS Towards Human-Sounding Speech
Overview of Orpheus TTS
Orpheus TTS is a Text-to-Speech (TTS) model designed to achieve human-sounding speech.
Key Points
- Goal: Generate speech with human-level quality.
- Model: A state-of-the-art speech-LLM based on the Llama architecture.
- Model Sizes: Offers models of different sizes, including Medium (3B parameters), Small (1B parameters), Tiny (400M parameters), and Nano (150M parameters).
- Quality: Generates high-quality speech even with very small models.
- Application: Can be used in production environments, providing pre-trained and fine-tuned models.
- Features: Supports zero-shot voice cloning and custom fine-tuning.
- Real-time Streaming: Provides a Python package for real-time streaming with fast inference.
Summary
Orpheus TTS aims to provide high-quality speech generation through various model sizes and supports voice cloning and real-time streaming.