View source for CN-CVS

===Introduction===

* CN-CVS, a large-scale Chinese Mandarin audio-visual dataset published by Center for Speech and Language Technology (CSLT) at Tsinghua University.

===Members===

* Current：Dong Wang, Chen Chen

===Description===

* Collect audio and video data of more than 2500 Mandarin speakers.
* Automatically clip videos through a pipeline including shot detection, VAD, face detection, face tracker, audio-visual synchronization detection.
* Manually annotate speaker identity, human check data quality.
* Create a benchmark database for video to speech synthesis task.

===Basic Methods===

* Environments: PyTorch, OpenCV, FFmpeg
* Shot detection: ffmpeg
* VAD: pydub
* Face detection and tracking: dlib.
* Audio-visual synchronization detection: SyncNet model.
* Input: json files of video information.
* Output: videos clips and wav files, as well as metadata json files.

===Reports===

===Publications===
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===Source Code===

* Collection Pipeline: https://github.com/sectum1919/cncvs_data_collector
* xTS: TODO
* VCA-GAN: TODO

===Download===

* Public (recommended)
https://cloud.tsinghua.edu.cn/d/83f13126daec49deb8a3/

* Local (not recommended)
https://cloud.tsinghua.edu.cn/d/83f13126daec49deb8a3/

===Future Plans===
* Extract text transcription via OCR & ASR & Human check
* Extend baseline to benchmark

===License===

* All the resources contained in the database are free for research institutes and individuals. 
* <b>No commerical usage is permitted</b>.

===References===