Text to Speech (TTS) synthesis is a process of translating natural language text into speech.
Pieces of recorded speech generate synthesized speech and a database is maintained for …

The objective of this paper is to present a detailed review of modelling various acoustic
features employed in statistical parametric speech synthesis (SPSS). As reported in the …

Recently, generative neural network models which operate directly on raw audio, such as
WaveNet, have improved the state of the art in text-to-speech synthesis (TTS). Moreover …

The paper proposes an integrated speech emotion conversion framework developed using
speaker-independent mixed-lingual training. The key contribution of the work is non-parallel …

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 …

Recent studies have shown that text-to-speech synthesis quality can be improved by using
glottal vocoding. This refers to vocoders that parameterize speech into two parts, the glottal …

In the state-of-the-art statistical parametric speech synthesis system, a speech analysis
module, eg STRAIGHT spectral analysis, is generally used for obtaining accurate and stable …

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 …

Achieving high quality and naturalness in statistical parametric synthesis of female voices
remains to be difficult despite recent advances in the study area. Vocoding is one such key …

We propose a hybrid network-based learning framework for speaker-adaptive vocal emotion
conversion, tested on three different datasets (languages), namely, EmoDB (German) …