This paper presents an implementation of an ASR system for the Romanian language that
uses a multi-layer neural network architecture to transcribe the input speech, augmented …

In this work, we present a baseline end-to-end system based on deep learning for automatic
speech recognition in Brazilian Portuguese. To build such a model, we employ a speech …

Nowadays, speech recognition is an active research field, where various deep neural
architectures are explored. The published successful models are optimized on massive …

Recognize automatically the spontaneous Human speech and transcribe it into text is
becoming an important task. However, freely available models are rare especially for under …

Automatic speech recognition (ASR) for Romanian language is on an ascending trend of
interest for the scientific community. In the last two years several research groups reported …

This paper presents the methodology we applied for building a new corpus of Bulgarian
speech suitable for training and evaluating modern speech recognition systems. The …

Acoustic data acquisition for under-resourced languages is an important and challenging
task. In the Icelandic parliament, Althingi, all performed speeches are transcribed manually …

Automatic speech recognition acknowledges the spoken words and converts them to a
machine-readable format of text. By converting spoken audio into text, this technology allows …

This paper presents the main improvements brought recently to the large-vocabulary,
continuous speech recognition (LVCSR) system for Romanian language developed by the …

This paper presents the results obtained using several variants of trigram language models
in a large vocabulary continuous speech recognition (LVCSR) system for the Serbian …