{"url":"/dataset/watch-your-mouth-point-clouds-based-speech","name":"Watch Your Mouth: Point Clouds based Speech Recognition Dataset","full_name":null,"description_markdown":"The Watch Your Mouth dataset is a custom silent speech dataset consisting of depth-only recordings of users silently mouthing full English sentences, captured using consumer-grade depth cameras such as the iPhone TrueDepth sensor. Sentences were carefully curated to cover diverse visemic and phonetic patterns, supporting the development of models capable of generalizing across varied speech content. Each sentence-level utterance provides a temporally aligned depth sequence and corresponding ground truth text. Please see more details in the paper Watch Your Mouth: Silent Speech Recognition with Depth Sensing.","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/174mlRrNpxAdqMASRp7cAU4d0iCTQk7SA?usp=sharing","introduced_date":"2024-05-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/watch-your-mouth-silent-speech-recognition","title":"Watch Your Mouth: Silent Speech Recognition with Depth Sensing","first_author":"Xue Wang","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Point cloud","url":"/datasets/modality/point-cloud"},{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[{"name":"Visual Speech Recognition","url":"/task/visual-speech-recognition","datasets_with_task":"/datasets/task/visual-speech-recognition"},{"name":"Silent Speech Recognition","url":"/task/silent-speech-recognition","datasets_with_task":"/datasets/task/silent-speech-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Watch Your Mouth: Point Clouds based Speech Recognition Dataset"],"data_loaders":[],"num_papers_in_archive":1,"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."}