A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge

By Björn Schuller, Stefan Steidl, Anton Batliner, Elmar Nöth, Alessandro Vinciarelli, Felix Burkhardt, R. V. Son, Felix Weninger, Florian Eyben, Tobias Bocklet and 2 more. 2015

84 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Social Psychology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Aurélien Bellet
2. Marc Tommasi
3. Emmanuel Vincent
4. Brij Mohan Lal Srivastava
5. Shinji Watanabe
6. Mirco Ravanelli
7. John R. Hershey
8. Yoshua Bengio

Citations in the corpus

• Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? (2019, background): “…speech processing algorithms can infer not only the spoken contents from the speech signal, but also the speaker’s identity [5], intention [6–9], gender [10,11], emotional state [12–14], pathological condition [15–17], personality [18,19] and cultural [20,21] attributes to a great extent.”