bjective is to familiarize students with the fundamental applications of speech signal processing, such as speech synthesis and automatic speech recognition. With a practical approach, the main paradigms that have been applied in both technologies will be analyzed, the procedures for the generation of these systems with the necessary creation of resources and voice databases will be described and the students will practice with real systems. Additionally, other applications related to speech technologies such as speaker and emotion recognition, voice conversion or diarization among others will be briefly reviewed.
To take this course, the student must master the basic models of speech production, the concepts of temporal and frequency signal analysis and the fundamentals of signal digitization.
