Speaker-Specific Lip to Speech Synthesis

The TIMIT Acoustic-Phonetic Continuous Speech Corpus is a standard dataset used for evaluation of automatic speech recognition systems. It consists of recordings of 630 speakers of 8 dialects of American English each reading 10 phonetically-rich sentences. It also comes with the word and phone-level transcriptions of the speech. Source: Improving neural networks by preventing co-adaptation of feature detectors Image Source: https://roboticrun.wordpress.com/2016/06/21/timit-introduction-the-official-doc/

The QMUL underGround Re-IDentification (GRID) dataset contains 250 pedestrian image pairs. Each pair contains two images of the same individual seen from different camera views. All images are captured from 8 disjoint camera views installed in a busy underground station. The figures beside show a snapshot of each of the camera views of the station and sample images in the dataset. The dataset is challenging due to variations of pose, colours, lighting changes; as well as poor image quality caused by low spatial resolution. Source: https://personal.ie.cuhk.edu.hk/~ccloy/downloads_qmul_underground_reid.html