One of the greatest challenges in speech technology is estimating the speaker's emotion.
Most of the existing approaches concentrate either on audio or text features. In this work, we …

In this paper, an approach to detect the sentiment of a song based on its multi-modality
natures (text and audio) is presented. The textual lyric features are extracted from the bag of …

Health care, public safety, home security and self-driving cars applications rely on the
automatic identification and interpretation of sound events. For example, abnormal …

This paper describes several experiments in building a sentiment analysis classifier for
spoken reviews. We specifically focus on the linguistic component of these reviews, with the …

This work investigates the role of factors like training method, training corpus size and
thematic relevance of texts in the performance of word embedding features on sentiment …

Sentiment analysis has emerged as a field, that has attracted a significant amount of
attention over the last decade. This is the area of study to analyze people reviews, songs …

Recently, sound recognition has been used to identify sounds, such as the sound of a car, or
a river. However, sounds have nuances that may be better described by adjective-noun …

[Objective] Short videos have become a new medium for spreading Internet public opinion.
In order to reveal the evolution characteristics of Internet public opinion spreading through …

Voice plays an important role in effective communication. This paper investigates
communication effectiveness using call center audio records, where each record contains a …

Nowadays, listening music has been and will always be an indispensable part of our daily
life. In recent years, sentiment analysis of music has been widely used in the information …