Face-domain-specific automatic speech recognition models

This model contains all the files required to implement face-domain-specific automatic speech recognition (ASR) applications using the [Kaldi ASR toolkit](https://github.com/kaldi-asr/kaldi), including the acoustic model, language model, and other relevant files. It also includes all the scripts and configuration files needed to use these models for implementing face-domain-specific automatic speech recognition.
The acoustic model was trained using the relevant Kaldi ASR tools and the Artur speech corpus ([audio](http://hdl.handle.net/11356/1776),[transcriptions](http://hdl.handle.net/11356/1772)). The language model was trained using the domain-specific text data involving face descriptions obtained by translating the [Face2Text English dataset](https://github.com/mtanti/face2text-dataset) into the Slovenian language. These models, combined with other necessary files like the HCLG.fst and decoding scripts, enable the implementation of face-domain-specific ASR applications.
This resource is available for download from the CLARIN.SI repository.