{"url":"/dataset/speakingfaces","name":"SpeakingFaces","full_name":null,"description_markdown":"SpeakingFaces is 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; examples include human-computer interaction (HCI), 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.\r\n\r\nSource: [SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams](/paper/speakingfaces-a-large-scale-multimodal)","description_withheld":null,"homepage":"https://github.com/IS2AI/SpeakingFaces","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/speakingfaces-a-large-scale-multimodal","title":"SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams","first_author":"Madina Abdrakhmanova","url":null},"license":null,"modalities":[],"tasks":[{"name":"Speech Recognition","url":"/task/speech-recognition","datasets_with_task":"/datasets/task/speech-recognition"}],"languages":[],"variants":["SpeakingFaces"],"data_loaders":[{"repo":"https://github.com/IS2AI/SpeakingFaces","url":"https://github.com/IS2AI/SpeakingFaces","frameworks":[]}],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}