TaL: a synchronised multi-speaker corpus of ultrasound tongue imaging, audio, and lip videos
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Abstract (arXiv)
We present the Tongue and Lips corpus (TaL), a multi-speaker corpus of audio, ultrasound tongue imaging, and lip videos. TaL consists of two parts: TaL1 is a set of six recording sessions of one professional voice talent, a male native speaker of English; TaL80 is a set of recording sessions of 81 native speakers of English without voice talent experience. Overall, the corpus contains 24 hours of parallel ultrasound, video, and audio data, of which approximately 13.5 hours are speech. This paper describes the corpus and presents benchmark results for the tasks of speech recognition, speech synthesis (articulatory-to-acoustic mapping), and automatic synchronisation of ultrasound to audio. The TaL corpus is publicly available under the CC BY-NC 4.0 license.
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Nov 2020.
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Citing papers per year: 2021: 4; 2022: 1; 2023: 2; 2024: 2; 2025: 1; 2026: 2.
12 papers.
- 2023Exploring Self-supervised Pre-trained ASR Models For Dysarthric and Elderly Speech Recognitioncited by 14
- 2024Self-supervised ASR Models and Features For Dysarthric and Elderly Speech Recognitioncited by 9
- 2022Exploiting Cross-domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recognitioncited by 7
- 2021Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errorscited by 2
- 2021Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imagingcited by 2
- 2025UltraUNet: Real-Time Ultrasound Tongue Segmentation for Diverse Linguistic and Imaging Conditionscited by 2
- 2023Adaptation of Tongue Ultrasound-Based Silent Speech Interfaces Using Spatial Transformer Networkscited by 1
- 2021Silent versus modal multi-speaker speech recognition from ultrasound and videocited by 0
- 2021Automatic audiovisual synchronisation for ultrasound tongue imagingcited by 0
- 2024An Audio-textual Diffusion Model For Converting Speech Signals Into Ultrasound Tongue Imaging Datacited by 0
- 2026SoniSpeech: A Large-Scale Open-Vocabulary Tri-Modal Dataset for Wearable Silent Speech Interfacescited by 0
- 2026Dual Co-Train: Cross-Dataset Ultrasound Tongue Segmentation Under Extreme Data Scarcitycited by 0
- 2026Dual Co-Train: Cross-Dataset Ultrasound Tongue Segmentation Under Extreme Data Scarcity18 Aug 2026
- 2026SoniSpeech: A Large-Scale Open-Vocabulary Tri-Modal Dataset for Wearable Silent Speech Interfaces1 Aug 2026
- 2025UltraUNet: Real-Time Ultrasound Tongue Segmentation for Diverse Linguistic and Imaging Conditions27 Sep 2025
- 2024Self-supervised ASR Models and Features For Dysarthric and Elderly Speech Recognition3 Jul 2024
- 2024An Audio-textual Diffusion Model For Converting Speech Signals Into Ultrasound Tongue Imaging Data9 Mar 2024
- 2023Adaptation of Tongue Ultrasound-Based Silent Speech Interfaces Using Spatial Transformer Networks30 May 2023
- 2023Exploring Self-supervised Pre-trained ASR Models For Dysarthric and Elderly Speech Recognition28 Feb 2023
- 2022Exploiting Cross-domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recognition15 Jun 2022
- 2021Adaptation of Tacotron2-based Text-To-Speech for Articulatory-to-Acoustic Mapping using Ultrasound Tongue Imaging26 Jul 2021
- 2021Automatic audiovisual synchronisation for ultrasound tongue imaging31 May 2021
- 2021Silent versus modal multi-speaker speech recognition from ultrasound and video27 Feb 2021
- 2021Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors27 Feb 2021