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 …

Аннотация Приведен аналитический обзор разновидностей интегральных (end-to-end)
систем для распознавания речи, методов их построения, обучения и оптимизации …

This paper considers end-to-end speech recognition systems based on deep neural
networks (DNN). The studies used different types of neural networks, CTC model and …

This paper presents the recent improvements in Serbian speech recognition that were
obtained by using contemporary deep neural networks based on sequence-discriminative …

Automatic speech recognition system is able to transcribe an audio speech input to text.
Attention-based Transformer networks are used to train over two Nepali Speech corpus, in …

In this paper, a number of language model training techniques will be examined and utilized
in a large vocabulary continuous speech recognition system for the Serbian language (more …

ACIIDS 2014 was the sixth event in the series of international scientific conferences for
research and applications in the field of intelligent information and database systems. The …

End-to-end speech recognition systems incorporating deep neural networks (DNNs) have
achieved good results. We propose applying CTC (Connectionist Temporal Classification) …

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 …

Интегральные (end-to-end) системы распознавания речи позволяют повысить скорость
декодирования речевого сигнала по сравнению со стандартными системами, однако …