Exact(10)
As for the shadowing model audio speed, gradual speed progression method was employed.
In Section 5, the approaches devoted to model audio background are investigated.
Student's t distribution includes the Cauchy and Gaussian distributions as special cases and has been used to model audio sources [36, 37].
This is a convincing result, because the weekly speed progression of the model audio inevitably increases the difficulty level, especially for those with less proficient participants.
As an introduction of shadowing for first timers, in order to develop a solid foundation of the shadowing technique, monologic script in a steadily paced model audio is considered ideal to meet the accuracy-based objective.
In doing so, instead of using commercial audio materials (e.g. textbook CDs), the teaching instructor, who is a native Japanese speaker, recorded the model audio himself, in order to flexibly adjust the speech speed to suit best this study design.
Similar(50)
Among the different approaches to model audio-visual data, the ones based on HMM have proved to yield realistic results when used in applications of speech driven facial animation [18].
We propose a hierarchical approach that models audio events over a time series in order to accomplish semantic context detection.
For example, the music engraved on a CD is transmitted through our equipment because somebody wrote a mathematical model of audio frequencies for it.
In the paper by Tolonand and Karjalainen [9], a multipitch analysis model for audio and speech signals is proposed with some basis on the human auditory model.
The minimum number of iterations required to model an audio signal without introducing perceptual distortions depends on the signal composition and the length of the signal.
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