Multi Speaker Tt

Multi-speaker text-to-speech (TTS) aims to synthesize high-quality speech from text for multiple speakers, often incorporating expressive prosody and style control. Current research focuses on improving model architectures like diffusion models and incorporating multi-modal prompts (e.g., text, images, reference audio) to enhance expressiveness and control over generated speech, while also addressing challenges like zero-shot speaker adaptation and robustness to imperfect transcriptions. Advances in this field are significant for applications ranging from personalized virtual assistants to accessible communication technologies, driving improvements in both the naturalness and diversity of synthetic speech.