In recent years, with the rise of mobile intelligent devices, people contact and use voice information more and more frequently. Voice forgery and its detection have become increasingly important technologies in the field of voice processing. Firstly, this study clarifies the general process of a voice generation system and systematically summarizes the two main technologies, text-to-speech (TTS) and voice conversion (VC), in the field of voice forgery. Then, the common algorithms in voice forgery detection technology are introduced and classified. Finally, to tackle the existing problems in voice forgery and its detection, this study puts forward possible development directions from the perspectives of data, models, training methods and application scenarios.