Sentence examples for speech classification system from inspiring English sources

As the above experiments figure out, the proposed approach performs well in a speech classification system.

Simulation results are presented for a speech classification system to highlight the advantages of using the rules-based framework to cope with stream dynamics.

In the future, our work should be focused on the exploration of parameters for a speaker-independent stressed speech classification system.

Using a computational model it has been shown that responses of ensembles of artificial STRFs, derived from limited sets of formative stimuli, preserve information about utterance class and prosody as well as the identity and sex of the speaker in a model speech classification system.

The algorithm returns a structure containing acoustic clusters plotted using visualization techniques that could be used as the foundations for future speech classification systems.

During 1950s, most of the speech classification systems investigated spectral resonances during the vowel region of each utterance which were extracted from output signals of an analog filter bank and logic circuits [24].

We use an unsupervised non-stationarity measure-based speech /non-speech classification scheme as presented in [15].

There are 8 attributes in the HUI3 classification system: vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain.

The earliest attempts to devise systems for automatic speech classification by machine were made in 1950s, when various researchers tried to exploit the fundamental ideas of acoustic phonetics.

The system works by looking for "key acoustic features" and then cross-referencing them with a classification system to match the speech to one of the five core emotions.

In order to perform recognition of speech emotion, two issues are of fundamental importance: the role of speech features on the classification performance, and the classification system employed for recognition [4].