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Conversor texto a voz en el dialecto venezolano por medio de la concatenación de difonos
(Ciencia e Ingeniería, 2010)
Analysis of oral-nasal balance after intensive speech therapy combined with speech bulb in speakers with cleft palate and hypernasality
(2020-05-01)
Objective: To evaluate the efficacy of the combination of a speech bulb with an intensive speech therapy program in hypernasal participants with cleft palate. Methods: Twenty hypernasal speakers with cleft palate (12 females ...
On Improvement of Speech Intelligibility and Quality: A Survey of Unsupervised Single Channel Speech Enhancement Algorithms
Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans. Speech signals enable humans to communicate and this usefulness of ...
Feature optimisation for stress recognition in speech
(Elsevier Science, 2016-07)
Mel-frequency cepstral coefficients introduced biologically-inspired features into speech technology, becoming the most commonly used representation for speech, speaker and emotion recognition, and even for applications ...
The discursive nature of inner speech
(2012)
If inner speech is first of all speech, then a critical departure point is to study its discursive nature. The aim of this paper is to deepen the notion of inner speech from a discursive and dialogical perspective. Drawing ...
Hypernasal Speech Is Perceived as More Monotonous than Typical Speech
(Karger, 2018-01-01)
Background/Purpose: Anecdotal clinical reports have stated that hypernasal speech sounds monotonous. However, the relationship between the perception of intonation (i.e., the fundamental frequency variation across an ...
Spectral phase estimation based on deep neural networks for single channel speech enhancement
Majority of speech processing algorithms operate only with the spectral magnitude, leaving spectral phase unstructured and unexplored. With recent advancement in deep neural networks (DNNs), the phase processing became ...
Regularized sparse features for noisy speech enhancement using deep neural networks
A speech enhancement algorithm improves the perceptual aspects of a speech degraded by noise signals. We propose a phase-aware deep neural network (DNN) using the regularized sparse features for speech enhancement. A ...
Hate speech in digital environments
(2021)
Online hate speech practices are a challenge to democracies, particularly because they touch on issues related to one of its pillars, namely freedom of speech. Seeking to understand the dynamics of negotiation between the ...