Sentence examples for structure of the audio from inspiring English sources

The system was based on MFCC feature vectors including shifted delta coefficients to capture the time dependency structure of the audio.

When the signal model is assumed to be nonnegative, NMF provides a meaningful structure of the audio data, which in this case is obtained from the magnitude or energy spectrograms.

It is obvious that, compared with the original spectrogram shown in Figure 3, the transient components are effectively restrained, but the fine structure of the audio spectrum is also blurred owing to long-term smoothing.

For robust audio watermarking, geometrical modifications are common operations and present many challenges because they severely alter the tempo or spectral structures of the audio and thus cause watermark desynchronization.

The slightly different fine structure for the audio spectrum would not significantly affect the auditory quality of the bandwidth-extended audio signals, if the HF spectral envelope is well restored.

The best detection rates appear in the screamed speech case, which was expected due to the different structure of the specific audio signals compared to the variations that the particular environment exhibits.

The importance of the harmonics is mentioned in Section 2. In our system, the harmonic structure of the emotional audio is measured with a cepstrum-like analysis which gives a tonal content measure referred as average harmonic structure of magnitude (AHSM).

In order to visualize the structure of audio spectrum, the phase space could be mapped into three-dimensional space.

Model-based synthesis provides a global structure to constrain the movement of the articulators and traverses through this structure according to the audio of the target utterance; however, by matching the input audio to the statistical mass of training data the detailed articulatory movements can be lost.

To evaluate the influence of the structure of the covariance matrices on the audio-to-visual conversion algorithm, experiments were performed using AV-HMMs with diagonal and full covariance matrices, different number of states and mixtures in the ranges from 2 to 19, and from 3 to 20, respectively, and different values of the co-articulation parameter t c in the range from 0 to 7.

They were chosen because they capture diverse aspects of the audio structure.