Detection and classification of place and manner of articulation for Bengali continuous speech

In this paper the place and manner of articulation based phonological features are detected and classified. Deep Neural Network based model has been used for detection and classification task. The deep structured model is pre-trained by stacked denoising autoencoder. The system obtained 89.17% overall accuracy in detection task. In case of classification task, 50.2% of classification accuracy is observed for classifying the place of articulation based features. The manner of articulation is divided into 15 groups based on some manner based knowledge combination and classification task is performed to achieve 98.9% of classification accuracy.