Fastspeech2 Architecture

FastSpeech2 is a neural text-to-speech (TTS) model aiming to generate high-quality, natural-sounding speech from text input. Current research focuses on improving FastSpeech2's performance through techniques like integrating self-supervised learning representations for richer speech characteristics, incorporating emotional expression via conditioning mechanisms, and developing end-to-end training methods with vocoders like HiFi-GAN to streamline the pipeline and enhance synthesis quality. These advancements are significant for improving accessibility (e.g., for visually impaired individuals) and creating more expressive and human-like synthetic speech in various applications.