Sentence examples for classification of speech from inspiring English sources

Classification of speech is one of the most vital problems in speech processing.

Although there have been many studies on the classification of speech, the results are still limited.

At this point (for ), the correct classification of speech was about 78% and the correct classification of noise was about 50% (see Figure 3).

The average performance in the classification of speech under stress was improved by 10%to15%5% using the proposed features, compared to traditional methods of stressed speech classification.

The classification of speech can be done into five categories depending upon the modes of speech production i.e. difference in vocal efforts[3].

However, the features examined in these previous studies lack a physical basis, and the methods do not consider the whole process of speech production, which is believed to be essential for effective classification of speech under stress.

Searle considers his taxonomy to be superior to Austin's, in part because Austin's was not based on a definite set of basic dimensions and so resulted in inconsistent and overlapping classifications of speech acts.

These maps show that, in the case of both intelligibility classifications, the voxels contributing most to the classification of intelligible speech, in which voxel activation was higher for intelligible speech when compared with unintelligible sounds, were found in the left anterior temporal lobe (Fig.  6 C, D).

We present an implementation of real time, language independent lip synchronization based on the classification of the speech signal, represented by MFCC vectors, into visemes using neural networks (NNs).

The inspector general found that the "discrepancy in the classification of the speech was due to the fact that [redacted] did not coordinate the information in the speech with outside agencies beforehand".

This work proposes a methodology to learn a speech representation from data by optimising a filter bank, in order to improve results in the classification of stressed speech.