the scientific community for their size and versatility in supporting research related to
speech recognition and natural language processing
• LRS2 and LRS3 10: The LRS2 and LRS3 datasets are additional examples of audiovisual
speech recognition datasets that have been gathered from videos captured in real-world
settings. Each of these datasets has its own distinct train/test split and includes cropped face
tracks as well as corresponding audio clips sourced from British television. Both datasets
are considered to be of significant value to researchers in the field of speech recognition,
particularly those focused on audiovisual analysis.
• GRID [97]: This dataset comprises high-fidelity audio and video recordings of more than
1000 sentences spoken by 34 distinct speakers, including 18 males and 16 females. The
sentences were gathered using the prompt "put red at G9 now" and are widely employed in
AReviewofDeepLearningTechniquesforSpeechProcessing