A Paralinguistic Approach To Speaker Diarisation: Using Age, Gender, Voice Likability and Personality Traits

Boqing Liu
Boqing Liu
Maximilian Schmitt
Maximilian Schmitt

MM '17: ACM Multimedia Conference Mountain View California USA October, 2017, pp. 387-392, 2017.

Cited by: 4|Bibtex|Views106|DOI:https://doi.org/10.1145/3123266.3123338
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org

Abstract:

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

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments