| ---
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| tags:
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| - audio
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| - speech
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| - chinese
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| - mandarin
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| - audiovisual
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| - avsr
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| - multimodal
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| - far-field
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| - multi-view
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| - conversation
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|
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| license: cc-by-nc-sa-4.0
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|
|
| extra_gated_heading: "Data Application"
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|
|
| extra_gated_description: |
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| Please fill out the form below to apply for access to this dataset.
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| Access will be granted only for academic and non-commercial research use.
|
| Please use your institutional email address and agree to the dataset license terms.
|
|
|
| extra_gated_button_content: "Submit Application"
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|
|
| extra_gated_fields:
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| First Name:
|
| type: text
|
| required: true
|
| Last Name:
|
| type: text
|
| required: true
|
| Affiliation (Research organization):
|
| type: text
|
| required: true
|
| Email Address (Please use institutional e-mail):
|
| type: text
|
| required: true
|
| I have read and agree to the license terms (CC BY-NC-SA 4.0):
|
| type: checkbox
|
| required: true
|
| ---
|
|
|
| ## 📘 Dataset Summary
|
|
|
| | **Property** | **Description** |
|
| | :------------------- | :-------------------------- |
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| | **Language** | Chinese (Mandarin, ZH) |
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| | **License** | CC BY-NC-SA 4.0 |
|
| | **Total Duration** | 102.19 hours |
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| | **Speakers** | 171 foreground speakers |
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| | **Scenes** | 5 real-world locations |
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| | **Recording Style** | Conversational speech |
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| | **Audio** | Near-field + far-field |
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| | **Video** | Multi-view RGB facial video |
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| | **Sampling Rate** | 16 kHz |
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| | **Far-field Audio** | 8-channel |
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| | **Video Resolution** | 256×256 @ 25 fps |
|
|
|
| ---
|
|
|
| ## 🎙️ Dataset Description
|
|
|
| AISHELL8-RealScene is a **public multi-scenario and multi-view audio-visual conversational corpus** recorded in real-world environments.
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|
|
| Unlike most existing AVSR datasets collected under constrained frontal settings, AISHELL8-RealScene focuses on realistic conditions including:
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|
|
| * environmental noise
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| * viewpoint variation
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| * speaker interference
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| * background activities
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| * outdoor scenes
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| * conversational interactions
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|
|
| The corpus was collected by AISHELL using a synchronized multi-device recording setup.
|
|
|
| ---
|
|
|
| ## 🏛️ Recording Environment
|
|
|
| AISHELL8-RealScene contains recordings from **five real-world locations**:
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|
|
| | ID | Location | Type |
|
| | -- | -------- | ------- |
|
| | L1 | Building | Outdoor |
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| | L2 | Hall | Indoor |
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| | L3 | Hotel | Indoor |
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| | L4 | Park | Outdoor |
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| | L5 | Street | Outdoor |
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|
|
| The recordings cover both indoor and outdoor scenarios.
|
|
|
| ---
|
|
|
| ## 🔊 Audio Specifications
|
|
|
| AISHELL8-RealScene provides both:
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|
|
| * **near-field audio**
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| * **far-field microphone-array audio**
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|
|
| ### Near-field Audio
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|
|
| Each foreground speaker wears a close-talking microphone used for transcription and alignment.
|
|
|
| ### Far-field Audio
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|
|
| Far-field audio is recorded using:
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|
|
| * circular microphone array
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| * 16 microphones
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| * 16 kHz
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| * 16-bit
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|
|
| To reduce release size while preserving spatial information, the public release provides:
|
|
|
| * **8-channel far-field audio**
|
|
|
| obtained by uniformly selecting microphones from the array.
|
|
|
| ### Audio Format
|
|
|
| * Format: `.wav`
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| * Sampling rate: **16 kHz**
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| * Near-field: single-channel
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| * Far-field: 8-channel
|
|
|
| ---
|
|
|
| ## 🎥 Video Specifications
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|
|
| Video is captured using **three synchronized HD RGB cameras**.
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|
|
| ### Camera Views
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|
|
| The three cameras are positioned horizontally with approximately **30° angular intervals**:
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|
|
| * **D0** — left
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| * **D1** — center
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| * **D2** — right
|
|
|
| ### Video Parameters
|
|
|
| | Property | Value |
|
| | ---------- | ------------ |
|
| | Resolution | 256×256 |
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| | Frame Rate | 25 fps |
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| | Views | D0 / D1 / D2 |
|
|
|
| The released facial videos are:
|
|
|
| * **256×256** resolution
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| * synchronized with audio
|
|
|
| ---
|
|
|
| ## 📊 Dataset Statistics
|
|
|
| ### Dataset Split
|
|
|
| | Split | Duration (h) | Sessions | Groups | Speakers |
|
| | ----- | -----------: | -------: | -----: | -------: |
|
| | Train | 79.84 | 133 | 56 | 133 |
|
| | Dev | 10.70 | 18 | 7 | 18 |
|
| | Eval | 11.65 | 20 | 7 | 20 |
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| | Total | 102.19 | 171 | 70 | 171 |
|
|
|
| No speakers overlap across:
|
|
|
| * train
|
| * dev
|
| * eval
|
|
|
| All splits contain recordings from all five locations.
|
|
|
| ---
|
|
|
|
|
|
|
| ## 📜 License
|
|
|
| This dataset is released under:
|
|
|
| **CC BY-NC-SA 4.0**
|
|
|
| https://creativecommons.org/licenses/by-nc-sa/4.0/
|
|
|
| ---
|
|
|
| ## 📄 Dataset Resources
|
|
|
| - 📄 **Paper:** [arXiv:](https://arxiv.org/abs/)
|
| - 🌐 **Demo:** [xxx.github.io/AISHELL8-RealScene](https://xxx.github.io/AISHELL8-RealScene/)
|
|
|
|
|
| ---
|
|
|
| ## 📜 Citation
|
|
|
| If you use AISHELL8-RealScene, please cite:
|
|
|
| ```bibtex
|
| @article{su2026m2savsr,
|
| title = {M2S-AVSR: Modality-aware Multi-view Self-supervised Representation for Robust Audio-Visual Speech Recognition},
|
| author = {Su, Fei and Li, Cancan and Li, Ming and Liu, Juan},
|
| journal = {},
|
| year = {2026}
|
| }
|
| ```
|
|
|
