This article discusses how machine learning techniques can improve acoustic eavesdropping attacks using gyroscopes and accelerometers in smartphones. It highlights recent research that bypasses the need for microphone access by utilizing these sensors to extract speech data. The series will explore the success of previous projects and attempt to reproduce and enhance their results.