Harmonics plus noise model based vocoder for statistical parametric speech synthesis

D Erro, I Sainz, E Navas… - IEEE Journal of Selected …, 2013 - ieeexplore.ieee.org
This article explores the potential of the harmonics plus noise model of speech in the
development of a high-quality vocoder applicable in statistical frameworks, particularly in …

Optimal feature extraction and selection techniques for speech processing: A review

AN Chadha, MA Zaveri… - … on Communication and …, 2016 - ieeexplore.ieee.org
Today speech processing is one of the demanding applications among all others. This
article highlights two important aspects of speech processing, namely which feature …

An experimental comparison of multiple vocoder types

Q Hu, K Richmond, J Yamagishi… - 8th ISCA Workshop on …, 2013 - research.ed.ac.uk
This paper presents an experimental comparison of a broad range of the leading vocoder
types which have been previously described. We use a reference implementation of each of …

Analysis and synthesis of speech using an adaptive full-band harmonic model

G Degottex, Y Stylianou - IEEE Transactions on Audio, Speech …, 2013 - ieeexplore.ieee.org
Voice models often use frequency limits to split the speech spectrum into two or more
voiced/unvoiced frequency bands. However, from the voice production, the amplitude …

Synthesis and expressive transformation of singing voice

L Ardaillon - 2017 - hal.science
This thesis aimed at conducting research on the synthesis and expressive transformations of
the singing voice, towards the development of a high-quality synthesizer that can generate a …

Enhancing missing data imputation of non-stationary signals with harmonic decomposition

J Ruiz, H Wu, MA Colominas - arxiv preprint arxiv:2309.04630, 2023 - arxiv.org
Dealing with time series with missing values, including those afflicted by low quality or over-
saturation, presents a significant signal processing challenge. The task of recovering these …

Enhancing Missing Data Imputation of Non-Stationary Oscillatory Signals With Harmonic Decomposition

J Ruiz, HT Wu, MA Colominas - IEEE Transactions on Signal …, 2024 - ieeexplore.ieee.org
Dealing with time series with missing values, including those afflicted by low quality or over-
saturation, presents a significant signal processing challenge. The task of recovering these …

[PDF][PDF] An investigation of the application of dynamic sinusoidal models to statistical parametric speech synthesis.

Q Hu, Y Stylianou, R Maia, K Richmond, J Yamagishi… - Interspeech, 2014 - isca-archive.org
This paper applies a dynamic sinusoidal synthesis model to statistical parametric speech
synthesis (HTS). For this, we utilise regularised cepstral coefficients to represent both the …

Enhancing the intelligibility of statistically generated synthetic speech by means of noise-independent modifications

D Erro, TC Zorilă, Y Stylianou - IEEE/ACM Transactions on …, 2014 - ieeexplore.ieee.org
When speaking devices such as smartphones, tablet-PCs, or GPS systems are used in noisy
outdoor environments, the intelligibility of speech significantly drops. This is even more …

Time-scale modifications based on a full-band adaptive harmonic model

GP Kafentzis, G Degottex, O Rosec… - … on Acoustics, Speech …, 2013 - ieeexplore.ieee.org
In this paper, a simple method for time-scale modifications of speech based on a recently
suggested model for AM-FM decomposition of speech signals, is presented. This model is …