Work

Taut-MUSHRA: A MUSHRA-based method without hidden reference and anchors for relative sound quality evaluation

Year: 2024

Type: article

Abstract: State-of-the-art text-to-speech systems have improved in sound quality and have become increasingly large in terms of the number of subjects to detect differences in MOS evaluation, which uses the five-scale precision. The MUSHRA method can precisely detect differences in sound quality compared with the MOS method because sound qualities are rated on a relative scale of 0 to 100 on 101 scales. However, it has the drawback of requiring hidden reference and anchors; thus, it cannot detect cases exceeding the hidden reference. Our method, named Taut-MUSHRA, requires no hidden reference and anchors and instead adds two constraints to the subjects. As a result, compared with the MOS method, our Taut-MUSHRA method could more sensitively detect differences in sound quality.

Source: Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi

DOI: 10.1250/ast.e24.34

Authors: Fumiyoshi Matano, Yuya Tagusari, Takanori Horibe, Junya Koguchi, Masanori Morise

Institution: Meiji University

Language: English

Topic: Speech and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Japan Society for the Promotion of Science

Awards: Proposal and systematization of bespoke speech design, Statistical Parametric Instrumental Sound Synthesis with Controllable Context of Performance