Speech processing algorithms are often developed demonstrating improvements over the
state-of-the-art, but sometimes at the cost of high complexity. This makes algorithm …

Voice conversion, as considered in this paper, is defined as modifying the speech signal of
one speaker (source speaker) so that it sounds as if it had been pronounced by a different …

Neural waveform models have demonstrated better performance than conventional
vocoders for statistical parametric speech synthesis. One of the best models, called …

A new voice conversion algorithm that modifies a source speaker's speech to sound as if
produced by a target speaker is presented. It is applied to a residual-excited LPC text-to …

In this paper, we evaluate the vulnerability of speaker verification (SV) systems to synthetic
speech. The SV systems are based on either the Gaussian mixture model–universal …

This paper describes the application of the harmonic plus noise model (HNM) for
concatenative text-to-speech (TTS) synthesis. In the context of HNM, speech signals are …

In this paper, we investigate the use of jitter estimation over short time intervals (short-term
jitter) for voice pathology detection in the case of running or continuous speech. Short-term …

Any modification applied to speech signals has an impact on their perceptual quality. In
particular, voice conversion to modify a source voice so that it is perceived as a specific …

Bandwidth extension (BWE) refers to various methods that increase either the perceived or
real frequency spectrum (bandwidth) of audio signals. Such frequency extension is …

Reconstruction of wideband speech from its narrowband version is an attractive issue, since
it can enhance the speech quality without modifying the existing communication networks …