Evaluating synthesized speech intelligibility in noise
Year: 2025
Type: article
Abstract: Humans can modify their speech to improve intelligibility in noisy environments. With the advancement of speech synthesis technology, machines may also synthesize voices that remain highly intelligible in noise condition. This study evaluates both the subjective and objective intelligibility of synthesized speech in speech-shaped noise from three major speech synthesis platforms. It was found that synthesized voices have a similar intelligibility range to human voices, and some synthesized voices were more intelligible than human voices. It was also found that two modern automatic speech recognition systems recognized 10% more words than human listeners.
Source: JASA Express Letters
DOI: 10.1121/10.0036397
Authors: Ye Yang, Dathan Nguyen, Katherine Chen, Fan-Gang Zeng
Institution: University of California, Irvine
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409543606