Work

Under-Represented Speech Dataset from Open Data: Case Study on the Romanian Language

Year: 2024

Type: article

Abstract: This paper introduces the USPDATRO dataset. This is a speech dataset, in the Romanian language, constructed from open data, focusing on under-represented voice types (children, young and old people, and female voices). The paper covers the methodology behind the dataset construction, specific details regarding the dataset, and evaluation of existing Romanian Automatic Speech Recognition (ASR) systems, with different architectures. Results indicate that more under-represented speech content is needed in the training of ASR systems. Our approach can be extended to other low-resourced languages, as long as open data are available.

Source: Applied Sciences

DOI: 10.3390/app14199043

Authors: Vasile Păiș, Verginica Barbu Mititelu, Elena Irimia, Radu Ion, Dan Tufiș

Institution: Romanian Academy

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,728

Funder: European Commission