Vocoding of speech is a standard part of statistical parametric speech synthesis systems. It
imposes an upper bound of the naturalness that can possibly be achieved. Hybrid systems …

A vocoder is used to express a speech waveform with a controllable parametric
representation that can be converted back into a speech waveform. Vocoders representing …

GlottHMM is a previously developed vocoder that has been successfully used in HMM-
based synthesis by parameterizing speech into two parts (glottal flow, vocal tract) according …

Currently, there is increasing interest to use sequence-to-sequence models in text-to-speech
(TTS) synthesis with attention like that in Tacotron models. These models are end-to-end …

In this article, three adaptation methods are compared based on how well they change the
speaking style of a neural network based text-to-speech (TTS) voice. The speaking style …

We present the beta version of ASE (the Automatic Sound Engineer), a NELE (Near End
Listening Enhancement) algorithm based on audio engineering knowledge. Generations of …

Lombard speech is a speaking style associated with increased vocal effort that is naturally
used by humans to improve intelligibility in the presence of noise. It is hence desirable to …

Automatically predicting the outcome of subjective listening tests is a challenging task.
Ratings may vary from person to person even if preferences are consistent across listeners …

Overlap-masking reduces speech intelligibility in reverberant environments. In contrast to
additive noise, the masking signal depends on the past of the speech signal. An increase in …

This paper presents an investigation of the separate perceptual degradations introduced by
the modelling of source and filter features in statistical parametric speech synthesis. This is …