Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends Page
1 90 COMMUNICATIONS OF THE ACM | MAY 2018 | VOL. 61 | NO. 5 review articles ILL US …

Speech emotion recognition (SER) is traditionally performed using merely acoustic
information. Acoustic features, commonly are extracted per frame, are mapped into emotion …

Recently, increasing attention has been directed to the study of the emotional content of
speech signals, and hence, many systems have been proposed to identify the emotional …

Speaker emotion recognition is achieved through processing methods that include isolation
of the speech signal and extraction of selected features for the final classification. In terms of …

More than a decade has passed since research on automatic recognition of emotion from
speech has become a new field of research in line with its 'big brothers' speech and speaker …

A method of disambiguating user intent in conversational interactions for information
retrieval is disclosed. The method includes providing access to a set of content items with …

In this paper we introduce a novel approach to the combination of acoustic features and
language information for a most robust automatic recognition of a speaker's emotion. Seven …

The expression and experience of human behavior are complex and multimodal and
characterized by individual and contextual heterogeneity and variability. Speech and …

Since the early studies of human behavior, emotion has attracted the interest of researchers
in many disciplines of Neurosciences and Psychology. More recently, it is a growing field of …

Over the last 30 years, building dialog systems for spontaneous speech has been one of the
main focuses of the Speech Processing and Understanding Group of the Chair of Pattern …