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We therefore analyze the performance on voiced and unvoiced speech portions separately.
No distinction is made between voiced and unvoiced speech portions for this analysis.
By assigning different weights to the magnitude spectra of speech and non-speech frames, the speech portions of an utterance are highlighted and the difference between the speech and non-speech portions in magnitude spectrum is strongly emphasized.
However, unvoiced speech portions, such as some fricatives, cannot be expected to be detected using harmonicity or pitch-based features alone [26].
This situation contrasts with MSE, where the (magnitude) spectrum of the speech portions is amplified, possibly making the resulting spectrum quite different from the clean spectrum.
However, in speech portions of the utterance, MSE further amplifies the magnitude spectrum, whereas in SFN the energy-related feature is kept nearly unchanged.
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Most of the lessons include a speech portion, allowing you to practice pronunciation as well.
When a frame of reverberant speech is inputted, the clean speech portion is projected onto subspace.
A spontaneous speech portion is also available but was not used in this study.
First, we showed that additional social evaluative threat components, mid-task following the speech portion of the TSST, were still capable of enhancing the psychosocial stressor.
MSE aims to shrink the magnitude spectra in the silence portion of an utterance and to strengthen them in the speech portion.
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