{"url":"/dataset/vibravox-throat-microphone","name":"VibraVox (throat microphone)","full_name":null,"description_markdown":"This is the **throat microphone (laryngophone) variant** of the VibraVox dataset.\r\n\r\nVibraVox aims at serving as a valuable resource for advancing the field of **body-conducted speech analysis** and facilitating the development of **robust communication systems for real-world applications**. This dataset, available on [HuggingFace](https://huggingface.co/datasets/Cnam-LMSSC/vibravox) can be used for various audio machine learning tasks :\r\n\r\n- **Automatic Speech Recognition (ASR)** (Speech-to-Text , Speech-to-Phoneme)\r\n- **Audio Bandwidth Extension (BWE)**\r\n-  **Speaker Verification (SPKV)** / identification\r\n-  **Voice cloning**\r\n-   etc ...\r\n\r\nThe [VibraVox dataset](https://vibravox.cnam.fr) speech corpus has been released in July 2024. It includes french speech recorded simultaneously using multiple audio and vibration sensors : a forehead miniature vibration sensor, an in-ear comply foam-embedded microphone, an in-ear rigid earpiece-embedded microphone, a temple vibration pickup, a headset microphone located near the mouth, and a laryngophone. VibraVox has been recorded with 200 participants under various acoustic conditions imposed by a [5th order ambisonics spatialization sphere](https://vibravox.cnam.fr/documentation/hardware/sphere/index.html).","description_withheld":null,"homepage":"https://huggingface.co/datasets/Cnam-LMSSC/vibravox","introduced_date":"2024-07-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/vibravox-a-dataset-of-french-speech-captured","title":"Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors","first_author":"Julien Hauret","url":null},"license":{"name":"CC-by-4.0","url":"https://choosealicense.com/licenses/cc-by-4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Audio","url":"/datasets/modality/audio"},{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[{"name":"Automatic Speech Recognition (ASR)","url":"/task/automatic-speech-recognition","datasets_with_task":"/datasets/task/automatic-speech-recognition"},{"name":"Speaker Verification","url":"/task/speaker-verification","datasets_with_task":"/datasets/task/speaker-verification"},{"name":"Bandwidth Extension","url":"/task/bandwidth-extension","datasets_with_task":"/datasets/task/bandwidth-extension"},{"name":"Automatic Phoneme Recognition","url":"/task/automatic-phoneme-recognition","datasets_with_task":"/datasets/task/automatic-phoneme-recognition"}],"languages":[{"name":"French","url":"/datasets/language/french"}],"variants":["VibraVox (throat microphone)"],"data_loaders":[{"repo":"https://github.com/jhauret/vibravox","url":"https://huggingface.co/datasets/Cnam-LMSSC/vibravox","frameworks":["pytorch"]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/automatic-phoneme-recognition-on-vibravox-4","task":"Automatic Phoneme Recognition","dataset_variant":"VibraVox (throat microphone)","rows":1,"metrics":["Test PER"],"first_row_in_archive_order":{"model":"medium wav2vec2.0","paper":"/paper/vibravox-a-dataset-of-french-speech-captured","metrics":{"Test PER":"0.073"},"code_links":[{"title":"jhauret/vibravox","url":"https://github.com/jhauret/vibravox"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/bandwidth-extension-on-vibravox-throat","task":"Bandwidth Extension","dataset_variant":"VibraVox (throat microphone)","rows":1,"metrics":["Noresqua-MOS","STOI","PER (wav2vec2)","EER (ECAPA2)"],"first_row_in_archive_order":{"model":"Configurable EBEN (M=4, P=2, Q=4)","paper":"/paper/vibravox-a-dataset-of-french-speech-captured","metrics":{"EER (ECAPA2)":"0.0847","Noresqua-MOS":"3.862","PER (wav2vec2)":"0.179","STOI":"0.834"},"code_links":[{"title":"jhauret/vibravox","url":"https://github.com/jhauret/vibravox"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/speaker-verification-on-vibravox-throat","task":"Speaker Verification","dataset_variant":"VibraVox (throat microphone)","rows":1,"metrics":["Test EER","Test min-DCF"],"first_row_in_archive_order":{"model":"ECAPA2","paper":"/paper/vibravox-a-dataset-of-french-speech-captured","metrics":{"Test EER":"0.0353","Test min-DCF":"0.20"},"code_links":[{"title":"jhauret/vibravox","url":"https://github.com/jhauret/vibravox"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/vibravox-a-dataset-of-french-speech-captured","title":"Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors","date":"2024-07-16","rows_on_this_dataset":3,"code_links":1,"syntology":null}],"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."}