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Efekt skali w próbach zginania obrotowego

Agrest D.

Zeszyty Naukowe. Mechanika / Politechnika Opolska

2017

z. 108

7--10

At work describes the size effect. Tests were carried out for specimens of varying length of the load segment. That is not standard approach because the size effect mainly is observed when the size of the cross section is modifying. The study was carried out on a series of cylindrical specimens. Received results were compared with the theoretical assumptions. It also discusses factors affecting the test results and announced further work in the area of size effect.

Generative Model-Driven Feature Learning for dysarthric speech recognition

Rajeswari N., Chandrakala S.

Biocybernetics and Biomedical Engineering

2016

Vol. 36, no. 4

553--561

Recognition of speech uttered by severe dysarthric speakers needs a robust learning technique. One of the commonly used generative model-based classifiers for speech recognition is a hidden Markov model. Generative model-based classifiers do not do well for overlapping classes and due to insufficient training data. Dysarthric speech is normally partial or incomplete that leads to improper learning of temporal dynamics. To overcome these issues, we focus on learning features for dysarthric speech recognition that involves recognizing the sequential patterns of varying length utterances. We propose a Generative Model-Driven Feature Learning based discriminative framework that maps the sequence of feature vectors to fixed dimension vector spaces induced by the generative models. The discriminative classifier is built in that vector space. The proposed HMM-based fixed dimensional vector representation provides better discrimination for dysarthric speech than the conventional HMM. We examine the performance of the proposed method to recognize the isolated utterances from the UA-Speech database. The recognition accuracy of the proposed model is better than the conventional hidden Markov model-based approach.