Abstract: We have investigated the classification of different textural elements in orchestral symbolic music data. A simple convolutional neural network (CNN) is utilized to perform the classification task in a track-wise and bar-wise manner. Preliminary results are reported, and different training parameters, including the use of contextual data and the combination of tracks, are also discussed. Code and data are available at: https://github.com/YaHsuanChu/orchestraTextureClassification