Google’s E3 TTS Provides Effortless Approach to High-Quality Audio Synthesis Through Diffusion Models

In a new paper E3 TTS: Easy End-to-End Diffusion-based Text to Speech, a Google research team proposes Easy End-to-End Diffusion-based Text to Speech. This streamlined and efficient text-to-speech model hinges solely on diffusion to preserve temporal structure, allowing it to accept plain text as input and generate audio waveforms directly.

ai artificial intelligence audio audio synthesis deep-neural-networks diffusion diffusion models easy generate google google research machine learning machine learning & data science ml paper quality research research team speech synthesis team technology temporal text text-to-speech through tts