SAM-Audio is a multimodal audio processing model that separates specific sounds from complex audio mixtures based on prompt inputs. It leverages a Perception-Encoder Audio-Visual (PE-AV) backbone to enable cross-modal understanding. Users can query audio by describing desired sounds in text, providing visual cues from video, or specifying time spans for extraction.