Abstract:With the occurrence of voice fraud, automatic speaker verification system has been widely used.Traditional methods of detecting synthetic speech include using spectral information, Q cepstrum coefficient characteristics and dynamic acoustic characteristics.With the development of machine learning, deep learning algorithm has also been applied to synthetic speech detection and achieved good results.The basic principle and some research results of several detection methods are introduced, and the future development direction is prospected.