Sentence examples for method for audio from inspiring English sources

Sridevi et al. [3] presented a method for audio steganography.

We presented a method for audio texture creation for virtual location-exploration services.

Fig. 1 Block diagram of the proposed blind bandwidth extension method for audio signals.

A bandwidth extension method for audio signals based on ensemble echo state network is proposed in this paper.

The human versus non-human sound discrimination is also performed using GMM as a successful traditional clustering method for audio signals.

Since using MFCC features with a SVM algorithm is a generally accepted classification method for audio, we utilized its results to benchmark the CNN algorithm.

To address this limitation, Choi et al. [15] have proposed a hidden Markov model inversion (HMMI) method for audio-visual conversion, which was originally introduced in [30] in the context of robust speech recognition.

Here, we clarify the methods for audio and visual feature extraction.

BWE methods for audio signals can be separated into two tasks: estimation of the spectral envelope and extension of the fine spectrum.

Furthermore, as a major confirmation of the potential of these technologies in perceptual quality assessment, a CI-based framework has been adopted in multiple methods for audio quality assessment, including the ITU standard, PEAQ [25].

We also tested the proposed methodology using perception evaluation methods for audio source separation (PEASS) toolkit [41], which describes a set of four perceptual scores (PS): overall (OPS), target-related (TPS), interference-related (IPS), and artifacts-related (APS), generated through a nonlinear mapping of the PEMO-Q auditory model [42].