An automatic speech recognition (ASR) system and method are provided for using sub-
lexical language models together with word level pronunciation lexicons. These approaches …

This paper considers the problem of constructing an efficient inverted index for the spoken
term detection (STD) task. More specifically, we construct a deterministic weighted finite …

Morfessor is a family of probabilistic machine learning methods forfinding the morphological
segmentation from raw text data. Recentdevelopments include the development of semi …

The primary aim of this study was to contribute to the development of multilingual automatic
speech recognition for lower-resourced Turkic languages. Ten languages—Azerbaijani …

We describe a novel way to implement subword language models in speech recognition
systems based on weighted finite state transducers, hidden Markov models, and deep …

Speech media, that is, digital audio and video containing spoken content, has blossomed in
recent years. Large collections are accruing on the Internet as well as in private and …

Because in agglutinative languages the number of observed word forms is very high,
subword units are often utilized in speech recognition. However, the proper use of subword …

This paper presents a comprehensive survey of corpora and lexical resources available for
Turkish. We review a broad range of resources, focusing on the ones that are publicly …

Recurrent neural networks are convenient and efficient models for language modeling.
However, when applied on the level of characters instead of words, they suffer from several …

Significant improvements have been made in automatic speech recognition (ASR) systems
in terms of both the general technology and the software used. Despite these …