Michigan researchers used AI originally trained on human speech to analyze dog sounds, achieving a 70% accuracy rate in understanding canine communication. The study highlights the potential for AI in bridging the gap between human and animal voice analysis, with future applications in identifying emotions, body needs, and even distinguishing dog characteristics.