ISSAI SpeakingFaces Dataset

A publicly-available large-scale dataset developed to support multimodal machine learning research in contexts that utilize a combination of thermal, visual, and audio data streams; application domain examples include human-machine interaction , biometric authentication, recognition systems, domain transfer, and speech recognition. SpeakingFaces is comprised of well-aligned high-resolution thermal and visual spectra image streams of fully-framed faces synchronized with audio recordings of each subject speaking approximately 100 imperative phrases. Data was collected from 142 subjects, yielding over 13,000 instances of synchronized data (3.8 TB).