The great majority of current voice technology applications rely on acoustic features, such as
the widely used MFCC or LP parameters, which characterize the vocal tract response …

In the field of speaker verification (SV) it is nowadays feasible and relatively easy to create a
synthetic voice to deceive a speech driven biometric access system. This paper presents a …

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 …

Detecting the correct speech polarity is a necessary step prior to several speech processing
techniques. An error on its determination could have a dramatic detrimental impact on their …

This paper introduces the Synthetic Speech Detection system developed by Aholab for the
Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof …

Phase retrieval has been theoretically proved to be an efficient method for signal
reconstruction given only the magnitude spectrum of short time Fourier transform (STFT) …

Current speaker verification systems are vulnerable to advanced speech manipulation
techniques such as voice conversion and speaker adaptation for TTS systems. Effective anti …

Spectral phase information is usually discarded in automatic speech recognition (ASR). The
Relative Phase Shift (RPS), a novel representation of the phase information of the speech …

More and more speech technology and signal processing applications make use of the
phase information. A proper estimation and representation of the phase goes inextricably …

We propose a glottal source estimation method robust to shimmer and jitter in the glottal
flow. The proposed estimation method is based on a joint source-filter optimization …