Meticulous learning of human emotions through speech is an indispensable function modern emotion recognition (SER) models. Consequently, deriving and interpreting various crucial features from raw data are complicated responsibilities in terms modeling to improve performance. Therefore, this study, we developed a novel SER model via attention-oriented parallel convolutional neural network (CNN)...

Intelligent Speech Analysis (ISA) plays an essential role in smart conversational agent systems that aim to enable natural, intuitive, and friendly human computer interaction. It includes not only the long-term developed Automatic Speech Recognition (ASR), but also the young field of Computational Paralinguistics, which has attracted increasing attention in recent years. In real-world applicati...

This paper describes a framework that extends automatic speech transcripts in order to accommodate relevant information coming from manual transcripts, the signal itself, and other resources, like lexica. The proposed automatically collects, relates, computes, stores all together self-contained data source, making it possible easily provide wide range of interconnected suitable for analysis, tr...

This research describes the use of oral expressive microskills Luis Fernandez Ruiz High school students at 2021-2022 year. project has a qualitative approach. It addresses social fact as application in stages planning, development and evaluation speech. The results this demonstrate that planning stage those under investigation apply following microskills: comunicative intention, identifying kin...

This paper summarizes major review work on pulmonic ingressive speech (Eklund, under revision), e.g., words like ja (yes) and nej (no) that are commonly produced on inhalation airstream in Swedish. Contrary to what is generally believed, ingressive speech is not limited to Scandinavia or present-day Nordic languages. Instead, it is shown that ingressive speech is found on all continents, in lan...

Database of contemporary Russian speech is being created for the Computer Fund of the Russian Language. Database consists of the corpus of sound files and their descriptions. Database sound material is formed by recordings of the Phonetically Representative Texts pronounced by 1) standard Russian speakers, 2) regional Russian speakers, 3) speakers from the former USSR republics to which Russian...