Work

Automatic Speech Recognition of Ukrainian Spontaneous Trauma-Related Speech: Accuracy , Linguistic Variability , and Evaluation Metrics

Year: 2025

Type: preprint

Abstract: The report "Automatic Speech Recognition of Ukrainian Spontaneous Trauma-Related Speech: Accuracy, Linguistic Variability, and Evaluation Metrics" presents the results of a study of the influence of emotional intensity and dialectal variability of speech on the accuracy of an automated speech recognition (ASR) system. A comparison is made of traditional and alternative linguistic indicators (WER, AUW, AWW, and AWC).

DOI: 10.59416/ultv3234

Authors: Mykhaylo Naydonov, Ivan Naydonov, Liubov Hryhorovska, Lyubov Naydonova, Grzegorz Pochwatko

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7117482129

Cites: 2

Cited by: 1

Related to: 10