Add to ORKG© Springer International Publishing AG 2017. This paper presents a comparative study of several different systems for speech recognition for the Tatar language, including systems for very large and unlimited vocabularies. All the compared systems use a corpus based approach, so recent results in speech and text corpora creation are also shown. The recognition systems differ in acoustic modelling algorithms, basic acoustic units, and language modelling techniques. The DNN based system with the sub-word based language model shows the best recognition result obtained on the test part of speech corpus
Speech technology applications for major languages are becoming widely available, but for many other...
AbstractThis article presents the National Corpus of the Tatar Language, which is being developed at...
This work concerns the problematic of language modeling in automatic speech recognition. Currently w...
© Springer International Publishing AG 2017. This paper presents a comparative study of several diff...
© 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...
The primary aim of this study was to contribute to the development of multilingual automatic speech ...
Automatic speech recognition systems with a large vocabulary and other natural language processing a...
© 2016 FRUCT.In this paper we describe our recent work of creation speech human-machine interface fo...
© 2015 IEEE.More than 7100 languages are spoken in the world and the significant part of these langu...
This article describes the methods of creating a system of recognizing the continuous speech of Kaza...
One particular problem in large vocabulary continuous speech recognition for low-resourced languages...
Speech recognition is a rapidly growing field in machine learning. Conventional automatic speech rec...
Speech is a paramount means of communication among humans, which makes recognition of the speech by ...
One of the most important strategic objectives of the modern globalised world is the preservation an...
Speech technology applications for major languages are becoming widely available, but for many other...
AbstractThis article presents the National Corpus of the Tatar Language, which is being developed at...
This work concerns the problematic of language modeling in automatic speech recognition. Currently w...
© Springer International Publishing AG 2017. This paper presents a comparative study of several diff...
© 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...
The primary aim of this study was to contribute to the development of multilingual automatic speech ...
Automatic speech recognition systems with a large vocabulary and other natural language processing a...
© 2016 FRUCT.In this paper we describe our recent work of creation speech human-machine interface fo...
© 2015 IEEE.More than 7100 languages are spoken in the world and the significant part of these langu...
This article describes the methods of creating a system of recognizing the continuous speech of Kaza...
One particular problem in large vocabulary continuous speech recognition for low-resourced languages...
Speech recognition is a rapidly growing field in machine learning. Conventional automatic speech rec...
Speech is a paramount means of communication among humans, which makes recognition of the speech by ...
One of the most important strategic objectives of the modern globalised world is the preservation an...
Speech technology applications for major languages are becoming widely available, but for many other...
AbstractThis article presents the National Corpus of the Tatar Language, which is being developed at...
This work concerns the problematic of language modeling in automatic speech recognition. Currently w...