A comparative study of deep End-to-End Automatic Speech Recognition models for doctor-patient conversations in Polish in a real-life acoustic environment

A comparative study of deep End-to-End Automatic Speech Recognition models for doctor-patient conversations in Polish in a real-life acoustic environment

The following paper presents research on the Automatic Speech Recognition (ASR) methods for the construction of a system to automatically transcribe the medical interview in Polish language during a visit in the clinic. Performance of four ASR models based on Deep Neural Networks (DNN) was evaluated...

Full description

Saved in:
Bibliographic Details
Main Authors: Karolina Pondel-Sycz, Piotr Bilski, Piotr Bobiński, Leszek Morzyński, Marcin Lewandowski, Emil Kozłowski, Grzegorz Szczepański, Maciej Jasiński, Grzegorz Makarewicz, Agnieszka Paula Pietrzak, Andrzej Buchowicz, Paweł Mazurek, Adrian Bilski, Jacek Olejnik, Iwona Olejnik
Format: Article
Language:English
Published: Polish Academy of Sciences 2025-07-01
Series:International Journal of Electronics and Telecommunications
Subjects:
automatic speech recognition
transformers
encoder-decoder
deep neural network
Online Access:https://journals.pan.pl/Content/135730/2-5157-Pondel-Sycz_sk.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://journals.pan.pl/Content/135730/2-5157-Pondel-Sycz_sk.pdf

Similar Items