Sentence examples for analysis speech from inspiring English sources

The roughly 60 APIs currently included in the service include features like sentiment analysis, speech recognition services, trend analysis and text classification services.

The NMF algorithm has broadly been used in text mining, image analysis, speech processing, and automatic control.

Deep learning is a tool that is used to create systems that have very good accuracy for tasks such as image analysis, speech recognition and language analysis, among other things.

Human machine interaction for all of these areas requires the existence of speech analysis, speech recognition, and speech verification algorithms that are robust with respect to the sources of speech variability that are characteristic of this population of speakers.

These regions were associated with expertise in fine-grained auditory analysis, speech categorization, audiomotor integration, and the auditory sequence processing.

For oral control scores, the ZDHHC9 group performed more poorly than XLID controls on both speech and nonspeech items (main effect of group F1,10 = 4.37, P = 0.06; post hoc analysis speech items F1,10 = 3.34, P = 0.09, nonspeech items F1,10 = 3.02, P = 0.11).

These are generally based on some analysis of speech or interference and subsequent speech amplification or noise reduction.

In the analysis of speech under stress, a range of speech parameters are possible.

The impact of pauses analysis for speech technology is particularly important for spontaneous speech recognition, which remains a challenging task [28].

Analysis of speech samples revealed that the improvement of perceived speech quality was related to improved intonation patterns.

In section 3, analysis of speech production features and their correlation with excitement in commentators' speech in the context of sports videos is discussed.