Fish Speech Introduction

Fish Speech utilizes advanced deep learning techniques, including a large language model architecture and a VITS decoder, to convert text into natural-sounding speech. It employs a dual autoregressive decoding strategy for stable, high-quality audio generation. The system can clone voices with just a 10-second audio prompt and offers emotional synthesis capabilities. Fish Speech processes text input by analyzing linguistic features, predicting corresponding sounds and prosodic elements like pitch and intonation, then generating audio output that closely mimics natural speech patterns. The model operates at approximately 20 tokens per second, allowing for rapid content generation.