Speech production can be regarded as a process where a time-varying vocal tract system
(filter) is excited by a time-varying excitation. In addition to its linguistic message, the speech …

Pitch detection is a fundamental problem in speech processing as F0 is used in a large
number of applications. Recent papers have proposed deep learning for robust pitch …

Convolutional neural networks (CNN) are widely used for speech emotion recognition
(SER). In such cases, the short time fourier transform (STFT) spectrogram is the most …

The objectives of the dysarthria assessment are to discriminate dysarthric speech from
normal speech, to estimate the severity of dysarthria in terms of the dysarthric speech …

Automatic speaker verification systems are vulnerable to spoofing attacks. Recently, various
countermeasures have been developed for detecting high technology attacks such as …

In this study, we propose Mel-weighted single frequency filtering (SFF) spectrograms for
dialect identification. The spectrum derived using SFF has high spectral resolution for …

The goal of this study is to investigate advanced signal processing approaches [single
frequency filtering (SFF) and zero-time windowing (ZTW)] with modern deep neural networks …

The pitch and speaking rate are the two significant factors that cause the acoustic mismatch
in children's keyword spotting (KWS) system. This paper proposes a pitch-robust acoustic …

In this paper we propose a method for extracting the fundamental frequency (fo) from
degraded speech signals using single frequency filtering (SFF) approach. The SFF of …

Studies on phase component of signals are important due to complementary information it
provides besides the amplitude information. Though most studies focused on the phase of …