A comprehensive study on bilingual and multilingual speech emotion recognition using a two-pass classification scheme.

ABSTRACT: Emotion recognition plays an important role in human-computer interaction. Previously and currently, many studies focused on speech emotion recognition using several classifiers and feature extraction methods. The majority of such studies, however, address the problem of speech emotion recognition considering emotions solely from the perspective of a single language. In contrast, the current study extends monolingual speech emotion recognition to also cover the case of emotions expressed in several languages that are simultaneously recognized by a complete system. To address this issue, a method, which provides an effective and powerful solution to bilingual speech emotion recognition, is proposed and evaluated. The proposed method is based on a two-pass classification scheme consisting of

SUBMITTER: Heracleous P 

PROVIDER: S-EPMC6695118 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature