tags:
- audio
- speech
- chinese
- mandarin
- audiovisual
- avsr
- multimodal
- far-field
- multi-view
- conversation
license: cc-by-nc-sa-4.0
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📘 Dataset Summary
| Property | Description |
|---|---|
| Language | Chinese (Mandarin, ZH) |
| License | CC BY-NC-SA 4.0 |
| Total Duration | 102.19 hours |
| Speakers | 171 foreground speakers |
| Scenes | 5 real-world locations |
| Recording Style | Conversational speech |
| Audio | Near-field + far-field |
| Video | Multi-view RGB facial video |
| Sampling Rate | 16 kHz |
| Far-field Audio | 8-channel |
| 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.
Unlike most existing AVSR datasets collected under constrained frontal settings, AISHELL8-RealScene focuses on realistic conditions including:
- environmental noise
- viewpoint variation
- speaker interference
- background activities
- outdoor scenes
- conversational interactions
The corpus was collected by AISHELL using a synchronized multi-device recording setup.
🏛️ Recording Environment
AISHELL8-RealScene contains recordings from five real-world locations:
| ID | Location | Type |
|---|---|---|
| L1 | Building | Outdoor |
| L2 | Hall | Indoor |
| L3 | Hotel | Indoor |
| L4 | Park | Outdoor |
| L5 | Street | Outdoor |
The recordings cover both indoor and outdoor scenarios.
🔊 Audio Specifications
AISHELL8-RealScene provides both:
- near-field audio
- far-field microphone-array audio
Near-field Audio
Each foreground speaker wears a close-talking microphone used for transcription and alignment.
Far-field Audio
Far-field audio is recorded using:
- circular microphone array
- 16 microphones
- 16 kHz
- 16-bit
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 - Sampling rate: 16 kHz
- Near-field: single-channel
- Far-field: 8-channel
🎥 Video Specifications
Video is captured using three synchronized HD RGB cameras.
Camera Views
The three cameras are positioned horizontally with approximately 30° angular intervals:
- D0 — left
- D1 — center
- D2 — right
Video Parameters
| Property | Value |
|---|---|
| Resolution | 256×256 |
| Frame Rate | 25 fps |
| Views | D0 / D1 / D2 |
The released facial videos are:
- 256×256 resolution
- 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 |
| 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:
- 🌐 Demo: xxx.github.io/AISHELL8-RealScene
📜 Citation
If you use AISHELL8-RealScene, please cite:
@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}
}