UmbraTTS is a new Text-to-Speech model that generates both speech and background audio together, creating more realistic, context-aware soundscapes. It uses a self-supervised approach to learn from unannotated recordings, overcoming the lack of paired training data. The result is high-quality, natural-sounding audio with fine control over environmental sound.