Automatic Speaker Characterization; Automatic Identification of Gender, Age, Language and Accent from Speech Signals (Automatische sprekercharacterisatie; Automatische identificatie van geslacht, leeftijd, taal en accent uit stemopnamen) KU Leuven
Speech signals carry important information about a speaker such as age, gender, language, accent and emotional/psychological state. Automatic recognition of speaker characteristics has a wide range of commercial, medical and forensic applications such as interactive voice response systems, service customization, natural human-machine interaction, recognizing the type of pathology of speakers, and directing the forensic investigation process. ...