Sentence examples for audio amplitude from inspiring English sources

To hide data robust to modification of audio amplitude, the watermark is embedded in the DWT domain using the relative relationships among different groups of the DWT coefficients.

However, this assumption of audio amplitude spectrum is not true in most cases due to the complicated characteristics of the audio spectrum.

A straightforward method is to linearly extrapolate the HFC from the LFC under the assumption that the audio amplitude spectrum with logarithm scale is linearly declined with the frequency increase [8, 9].

For volume change operation (all samples in value are scaled with the same factor), we have δ1 = δ2 = δ3 = 0 and μ > 0. It indicates that w(i) can be recovered correctly under the linear change of audio amplitude.

The audio amplitude spectrum A(k) in the frequency range of 64~7000 Hz is mapped onto the perceptually correlated equivalent rectangular bandwidth (ERB) scale by 20-channel triangular overlapping windows, in order to extract the 20-dimensional Mel frequency cepstral coefficient (MFCC) vector F MFCC. Next, the extracted MFCCs are normalized to the range between 0 and 1 via min-max normalization.

When I started trying to make layer-lapses I actually tried to make a software that would 'grab' certain sounds based on their frequencies and the audio amplitude, and then have an equation that would change the opacity of a layer based on when that sound occurred.

To increase the hiding capacity, the same authors have introduced a semi-lossless technique for G.711-PCMU[43], where audio sample amplitudes are amplified with a pre-defined level 'i'i

First of all, in audio signals the amplitudes of the harmonics typically decrease with increasing (see, e.g., Figures 11(b) and 14(b) in Section 5).

Hence, the outer and middle ear transfer functions limit the ability to detect low-amplitude audio signals and affect the absolute threshold of hearing [24, 25].

However, Figure  4 suggests that for the N1 component, the change in difference results predominantly from a decrease in Audio-visual response amplitude, while for P2 the change was predominantly driven by an increase in Auditory-only amplitude.

Low-level refers to the characteristics of the audio wave shape like amplitude and spectrum.