2026-10-15T21:47:52Z https://data.mendeley.com/oai

oai:data.mendeley.com/xx3dvkm4gy.1 2026-09-11T00:08:52Z

Rios-Figueroa, Homero V. Mexican Spanish viseme phoneme /a/ dataset Mendeley Data This dataset contains the dynamic performance of the Mexican Spanish phoneme /a/ by 10 people repeated three times by everyone. Multimodal data was captured using a MS Kinect V2 sensor connected to a laptop. RGB images (24 bits per pixel) and depth images (16 bit per pixel) sequences were captured at 30 frames per second. The synchronized audio of the phoneme was recorded in a WAV file at 44 Khz, 16 bits per sample. For each phoneme performance the following data are available for the mouth region: 90, 256x256 RGB images (24 bits per pixel) in PNG format 90, 256x256 depth images (16 bits per pixel) in PNG format One WAV file at 44 Khz, 16 bits per pixel To facilitate analysis, processing, machine learning and inference methods to be developed the following additional files are provided which are derived from the above raw data: 191 facial landmarks (x,y) extracted with MediaPipe software for each RGB image. The landmarks are stored in a TXT file, with one point (x,y) in each row. 191 facial landmarks (x,y,Z) extracted with MediaPipe software for each depth image. The landmarks are stored in a TXT file, with one point (x,y,Z) in each row. Cloud point (X,Y,Z) corresponding to each depth image obtained from reprojection using the depth camera intrinsic parameters. The cloud is stored as a TXT file, with one point (X,Y,Z) per row. Cloud point (X,Y,Z) corresponding to 191 landmarks of each depth image obtained from reprojection using the depth camera intrinsic parameters. The cloud is stored as a TXT file, with one point (X,Y,Z) per row. Computer Vision Speech Recognition Pattern Recognition Palacios-Trinidad, Mariana Dataset doi:10.17632/xx3dvkm4gy.1 oai:data.mendeley.com/xx3dvkm4gy.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/xx3dvkm4gy 2026-09-11T00:08:52Z