Laura Fernández Gallardo

Analyzed different approaches for feature selection and predictive modeling (regression and classification) of speaker characteristics: warmth, attractiveness, confidence... I am currently examining techniques to improve the speaker characterization performance that I have got (new speech features and deep learning methods). I mostly use R, Python, and Matlab in my everyday work. http://www.qu.tu-berlin.de/?id=lfernandez https://www.researchgate.net/profile/Laura_Fernandez_Gallardo

PhD thesis title: “Human and Automatic Speaker Recognition over Telecommunication Channels”. Demonstration of the benefits of extended channel bandwidth for speaker recognition. Insight into how speaker-specific characteristics of speech are modified through different transmissions.

Digital signal processing, acoustics engineering, speech technologies, image processing, programming, calculus, algebra, physics of engineering, telematic systems and services, circuit and electronic systems design.