The growth of possible applications, the increase in computational power, and the widespread adoption of portable devices has produced, in the last years, an increasing interest from the academic community, industries and governments in automatic systems able to process speech segments. As a result, speech technology is becoming more and more pervasive, as it allows for natural user-machine interactions. In the field of Cybersecurity, voice can be effectively employed as alternative to fingerprint or face recognition. Furthermore, speaker identification plays a relevant role in forensics and surveillance. Due to the importance of these topics, the Speech Recognition Group (SRG) of Politecnico di Torino has been actively involved for several years in the development of novel speaker identification and verification approaches based on Machine Learning and Artificial Intelligence techniques.