© 2015 IEEE.More than 7100 languages are spoken in the world and the significant part of these languages suffers frothe absence of speech services, therefore people cannot use them on their native languages and have to learn and use other languages in order to communicate with modern information technologies. This paper describes an approach to automate the creation of speech recognition systems for under-resourced languages. The aim is to simplify and speed up this process via providing the necessary tools and organizing the process of systems' development and testing. The results of building phoneme and speech recognition systems for the Tatar language (3rd most spoken language in Russia) demonstrate the possibility of using the proposed ...
This paper describes a speech identification system for the Tatar, English and Russian languages. It...
International audienceEnormous progress in speech technologies has been achieved over the last twode...
One particular problem in large vocabulary continuous speech recognition for low-resourced languages...
© 2015 IEEE.More than 7100 languages are spoken in the world and the significant part of these langu...
Speech processing for under-resourced languages is an active field of research, which has experience...
Speech technology applications for major languages are becoming widely available, but for many other...
Automatic speech recognition systems with a large vocabulary and other natural language processing a...
In this paper, we present an end-to-end solution to the development of an automatic speech recogniti...
Machine learning has revolutionised speech technologies for major world languages, but these technol...
Machine learning has revolutionized speech technologies for major world languages, but these technol...
© Springer International Publishing AG 2017. This paper presents a comparative study of several diff...
Automatic speech recognition systems have so far been developed only for very few languages out of t...
ABSTRACT Engineering automatic speech recognition (ASR) for speech to speech (S2S) translation syste...
© 2016 FRUCT.In this paper we describe our recent work of creation speech human-machine interface fo...
© Springer Nature Switzerland AG 2018. This paper presents a comparative study of several different ...
This paper describes a speech identification system for the Tatar, English and Russian languages. It...
International audienceEnormous progress in speech technologies has been achieved over the last twode...
One particular problem in large vocabulary continuous speech recognition for low-resourced languages...
© 2015 IEEE.More than 7100 languages are spoken in the world and the significant part of these langu...
Speech processing for under-resourced languages is an active field of research, which has experience...
Speech technology applications for major languages are becoming widely available, but for many other...
Automatic speech recognition systems with a large vocabulary and other natural language processing a...
In this paper, we present an end-to-end solution to the development of an automatic speech recogniti...
Machine learning has revolutionised speech technologies for major world languages, but these technol...
Machine learning has revolutionized speech technologies for major world languages, but these technol...
© Springer International Publishing AG 2017. This paper presents a comparative study of several diff...
Automatic speech recognition systems have so far been developed only for very few languages out of t...
ABSTRACT Engineering automatic speech recognition (ASR) for speech to speech (S2S) translation syste...
© 2016 FRUCT.In this paper we describe our recent work of creation speech human-machine interface fo...
© Springer Nature Switzerland AG 2018. This paper presents a comparative study of several different ...
This paper describes a speech identification system for the Tatar, English and Russian languages. It...
International audienceEnormous progress in speech technologies has been achieved over the last twode...
One particular problem in large vocabulary continuous speech recognition for low-resourced languages...