The MMASCS multi-modal annotated synchronous corpus of audio, video, facial motion and tongue motion data of normal, fast and slow speech

摘要

In this paper, we describe and analyze a corpus of speech data that we have recorded in multiple modalities simultaneously: facial motion via optical motion capturing, tongue motion via electro-magnetic articulography, as well as conventional video and high-quality audio. The corpus consists of 320 phonetically diverse sentences uttered by a male Austrian German speaker at normal, fast and slow speaking rate. We analyze the influence of speaking rate on phone durations and on tongue motion. Furthermore, we investigate the correlation between tongue and facial motion.