It usually produces a nonlinear transformation of the feature space depending on the speech representation and the type of noise.
In our method, while determining the threshold in (16), only time adaptation approach is incorporated through TE operation on WP coefficients as in the WPF method in[18] (time-adaptive approach), where threshold is adapted through time only and modulated depending on the speech or silent nature of the signal under an analysis frame.
But the speeches, which ran anywhere from 11 minutes to more than 40 -- depending on the speech itself and the number of "persuasive pauses," per TIME -- gave Roosevelt a chance to explain and defend his New Deal policies.
Our initial experiments revealed that classification accuracy for different irrelevant signals is variable depending on the speaker, the speech content of signal and alignment of silent parts of coherent and incoherent signals.
While that might be vague, Facebook then goes on to give specific examples of what would and wouldn't amount to hate speech, all while making clear that there are cases – depending on the context – where speech will still be tolerated if, for example, it's intended to raise awareness.
Several versions of the speech noise mixture can be made in a binaural presentation, depending on whether the speech or noise is presented diotically or monaurally, denoted respectively by the character or : First, refers to a diotic presentation of both speech and noise, mixed with −5 dB SNR in this example.
In addition to compression technology, AMR-WB is "intelligent" and varies the amount of data it pumps into the network depending on the complexity of the speech pattern.
Using two different domains is a straightforward way to compare system performances across two different domains, and has allowed us to examine the performance degradation of the systems depending on the nature of the speech data.
The use of two different domains was permitted to compare the system performance across the two different domains and enabled the examination of the performance degradation of the systems depending on the nature of the speech data, the acoustic conditions, the training/development and testing mismatch, and the over-fitting issues.
However, the improvement of rTMS protocols is still a matter of debate since rTMS-evoked speech-errors appear relatively widespread over the brain and are rather poorly reliable, depending on the type of the speech-errors.
Depending on the nature of your speech, if you've just presented a lot of complex details about climate change, the ending might be an appropriate time to introduce your first case study, or personal example that will help to drive home the facts that you've just presented.
