Harmonics plus noise model based vocoder for statistical parametric speech synthesis
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 …
development of a high-quality vocoder applicable in statistical frameworks, particularly in …
Optimal feature extraction and selection techniques for speech processing: A review
Today speech processing is one of the demanding applications among all others. This
article highlights two important aspects of speech processing, namely which feature …
article highlights two important aspects of speech processing, namely which feature …
An experimental comparison of multiple vocoder types
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 …
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
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 …
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 …
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
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 …
saturation, presents a significant signal processing challenge. The task of recovering these …
Enhancing Missing Data Imputation of Non-Stationary Oscillatory Signals With Harmonic Decomposition
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 …
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.
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 …
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
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 …
outdoor environments, the intelligibility of speech significantly drops. This is even more …
Time-scale modifications based on a full-band adaptive harmonic model
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 …
suggested model for AM-FM decomposition of speech signals, is presented. This model is …