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We present SpeakingFaces as a publicly-available large-scale multimodaldataset developed to support machine learning research in contexts that utilizea combination of thermal, visual, and audio data streams; examples includehuman-computer interaction, biometric authentication, recognition systems,domain transfer, and speech recognition. SpeakingFaces is comprised of alignedhigh-resolution thermal and visual spectra image streams of fully-framed facessynchronized with audio recordings of each subject speaking approximately 100imperative phrases. Data were collected from 142 subjects, yielding over 13,000instances of synchronized data (~3.8 TB). For technical validation, wedemonstrate two baseline examples. The first baseline shows classification bygender, utilizing different combinations of the three data streams in bothclean and noisy environments. The second example consists of thermal-to-visualfacial image translation, as an instance of domain transfer.

SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams