Animal biodiversity has been experiencing rapid decline due to various reasons such as
habitat loss and degradation, invasive species, and environment pollution. Recent advances …

Human subjective evaluation is the" gold standard" to evaluate speech quality optimized for
human perception. Perceptual objective metrics serve as a proxy for subjective scores. We …

Most speech processing techniques use magnitude spectrograms as front-end and are
therefore by default discarding part of the signal: the phase. In order to overcome this …

In this paper, we evaluate the performance of several objective measures in terms of
predicting the quality of noisy speech enhanced by noise suppression algorithms. The …

Nowadays, most of the objective speech quality assessment tools (eg, perceptual evaluation
of speech quality (PESQ)) are based on the comparison of the degraded/processed speech …

The traditional power spectral subtraction algorithm is computationally simple to implement
but suffers from musical noise distortion. In addition, the subtractive rules are based on …

Multi-channel signals captured by spatially separated sensors often contain a high level of
data redundancy. A compact signal representation enables more efficient storage and …

This paper presents a speech enhancement technique for signals corrupted by
nonstationary acoustic noises. The proposed approach applies the empirical mode …

Different types of noise from the surrounding always interfere with speech and produce
annoying signals for the human auditory system. To exchange speech information in a noisy …

In this paper, a novel steganographic method for Voice over IP applications—called
Steganography-based Interpolation and Auto-Encoding (SIAE)—is proposed. The aim of the …