A Paralinguistic Approach To Speaker Diarisation: Using Age, Gender, Voice Likability and Personality Traits
MM '17: ACM Multimedia Conference Mountain View California USA October, 2017, pp. 387-392, 2017.
In this work, we present a new view on automatic speaker diarisation, i.e., assessing "who speaks when", based on the recognition of speaker traits such as age, gender, voice likability, and personality. Traditionally, speaker diarisation is accomplished using low-level audio descriptors (e.g., cepstral or spectral features), neglecting t...More
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