With the emergence of deep learning, the performance of automatic speech recognition
(ASR) systems has remarkably improved. Especially for resource-rich languages such as …

Modern automatic speech recognition systems based on end-to-end (E2E) models show
good results in terms of the accuracy of language recognition, which have large corpuses for …

Ensuring the best quality and performance of modern speech technologies, today, is
possible based on the widespread use of machine learning methods. The idea of this project …

To obtain a reliable and accurate automatic speech recognition (ASR) machine learning
model, it is necessary to have sufficient audio data transcribed, for training. Many languages …

A new generation of speech translation technology is being developed to enable natural
cross-language communication. Research efforts must focus on large vocabulary …

Sign languages are an extremely important means of communication in many cases,
especially for deaf and hard of hearing people. But the same gesture can convey different …

This article is devoted to solving the problem of converting sign language into a consistent
text with intonation markup for subsequent voice synthesis of sign phrases by speech with …