As humans, we transmit a significant amount of information through speech. Evolution has developed an entire organ with the function of modulating audio signals for communication purposes, and speech is the most commonly used communication channel among humans. In the field of speech processing, there are several transformations that can be used to extract values from speech data. These applications range from clinical settings, such as detecting Parkinson's disease from voice samples, to the media industry, where software for automatic dubbing in multiple languages can be developed using speech processing methods. This thesis focuses on two specific tasks within the field of speech processing: speaker recognition (SR) and text-to-speech synthesis (TTS).