Like any other biometric systems, Automatic Speaker Verification (ASV) systems are also
vulnerable to the spoofing attacks. Hence, it is important to develop the countermeasures in …

During the past three decades, the issue of processing spectral phase has been largely
neglected in speech applications. There is no doubt that the interest of speech processing …

An overview on the challenging new topic of phase-aware signal processing Speech
communication technology is a key factor in human-machine interaction, digital hearing …

We investigate the problem of direct waveform modelling using parametric kernel-based
filters in a convolutional neural network (CNN) framework, building on SincNet, a CNN …

Voice-controlled devices are in demand due to their hands-free controls. However, using
voice-controlled devices in sensitive scenarios like smartphone applications and financial …

Stream fusion, also known as system combination, is a common technique in automatic
speech recognition for traditional hybrid hidden Markov model approaches, yet mostly …

In many speech processing applications, the spectral amplitude is the dominant information
while the use of phase spectrum is not so widely spread. In this paper, we present an …

Computational modeling of musical timbre is important for a variety of music information
retrieval applications. While considerable progress has been made to recognize musical …

In this paper, we explore the effectiveness of deploying the raw phase and magnitude
spectra for dysarthric speech recognition, detection and classification. In particular, we …

Magnitude spectrum-based features are the most widely employed front-ends for acoustic
modelling in automatic speech recognition (ASR) systems. In this paper, we investigate the …