Automatic speech recognition (ASR) is one of the most important applications of speech and language processing, as it forms the bridge between spoken and written language processing. This chapter presents an overview of the foundations of ASR, followed by a summary of Turkish language resources for ASR and a review of various Turkish ASR systems. Language resources include acoustic and text corpora as well as linguistic tools such as morphological parsers, morphological disambiguators, and dependency parsers, discussed in more detail in other chapters. Turkish ASR systems vary in the type and amount of data used for building the models. The focus of most of the research for Turkish ASR is the language modeling component covered in Chap. 4
Since Turkish is a morphologically productive language, it is almost impossible for a word-based rec...
© 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 ...
Significant improvements have been made in automatic speech recognition (ASR) systems in terms of bo...
To build automatic speech recognition (ASR) systems with a low word error rate (WER), a large speech...
Speech is a paramount means of communication among humans, which makes recognition of the speech by ...
This chapter presents an overview of language modeling followed by a discussion of the challenges in...
This paper presents work on developing speech corpora and recognition tools for Turkish by porting S...
The primary aim of this study was to contribute to the development of multilingual automatic speech ...
This paper presents a comprehensive survey of corpora and lexical resources available for Turkish. W...
While the Turkish language is listed among low-resource languages, literature on Turkish automatic s...
Konuşma tanıma, söylenen sözlerin metne dönüştürülmesidir. Sesle kontrol uygulamalarının yanı sıra ç...
Two types of language models have been considered for Turkish continuous speech recogniton. In one c...
International audienceIn this paper we present an overview on the development of a large vocabulary ...
This paper presents a comprehensive survey of corpora and lexical resources available for Turkish. W...
Since Turkish is a morphologically productive language, it is almost impossible for a word-based rec...
© 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 ...
Significant improvements have been made in automatic speech recognition (ASR) systems in terms of bo...
To build automatic speech recognition (ASR) systems with a low word error rate (WER), a large speech...
Speech is a paramount means of communication among humans, which makes recognition of the speech by ...
This chapter presents an overview of language modeling followed by a discussion of the challenges in...
This paper presents work on developing speech corpora and recognition tools for Turkish by porting S...
The primary aim of this study was to contribute to the development of multilingual automatic speech ...
This paper presents a comprehensive survey of corpora and lexical resources available for Turkish. W...
While the Turkish language is listed among low-resource languages, literature on Turkish automatic s...
Konuşma tanıma, söylenen sözlerin metne dönüştürülmesidir. Sesle kontrol uygulamalarının yanı sıra ç...
Two types of language models have been considered for Turkish continuous speech recogniton. In one c...
International audienceIn this paper we present an overview on the development of a large vocabulary ...
This paper presents a comprehensive survey of corpora and lexical resources available for Turkish. W...
Since Turkish is a morphologically productive language, it is almost impossible for a word-based rec...
© 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 ...