Speech technologies have been developed for decades as a typical signal processing area,
while the last decade has brought a huge progress based on new machine learning …

Multiple unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV)
heterogeneous cooperation provides a new breakthrough for the effective applications. UGV …

College English education aims at cultivating students' English application ability and
promoting the development of students' English communication level. However, at present …

Serbian is in a group of highly inflective and morphologically rich languages that use a lot of
different word suffixes to express different grammatical, syntactic, or semantic features. This …

We consider the architectures of convolutional neural networks used to assess the
emotional state of a person by their speech. The problem of increasing the efficiency of …

Automatic speech recognition (ASR) has been one of the biggest and hardest challenges in
the field. A large majority of research in this area focuses on widely spoken languages such …

Speech recognition is the most important research direction in human‐computer interaction.
It is the key to the connection between human beings and machines and the expression of …

This paper describes the current state-of-the-art language model for the Serbian language,
and also a specific way of dealing with one of the issues that is present in Serbian automatic …

A better understanding of students' English pronunciation features would be a useful guide
for teaching spoken English. This paper first analyzed the English pronunciation features …

In automatic speech recognition systems the training data used for system development and
data expected to be obtained during the practical use of the system do not have to fit each …