SP-MCQA: Evaluating Intelligibility of TTS Beyond the Word Level
PositiveArtificial Intelligence
A new approach called Spoken-Passage Multiple-Choice Question Answering (SP-MCQA) has been introduced to improve the evaluation of text-to-speech (TTS) intelligibility. Traditional methods often rely on word accuracy metrics, which don't fully capture how people understand spoken language. SP-MCQA aims to assess the accuracy of key information in synthesized speech, making it a significant advancement in TTS evaluation. This matters because it could lead to more natural and comprehensible speech synthesis, enhancing user experience in various applications.
— Curated by the World Pulse Now AI Editorial System


