  Nowadays, non-privacy small-scale motion detection has attracted an
increasing amount of research in remote sensing in speech recognition. These
new modalities are employed to enhance and restore speech information from
speakers of multiple types of data. In this paper, we propose a dataset
contains 7.5 GHz Channel Impulse Response (CIR) data from ultra-wideband (UWB)
radars, 77-GHz frequency modulated continuous wave (FMCW) data from millimetre
wave (mmWave) radar, and laser data. Meanwhile, a depth camera is adopted to
record the landmarks of the subject's lip and voice. Approximately 400 minutes
of annotated speech profiles are provided, which are collected from 20
participants speaking 5 vowels, 15 words and 16 sentences. The dataset has been
validated and has potential for the research of lip reading and multimodal
speech recognition.
