Listar por tema "speech quality"
Mostrando ítems 1-5 de 5
-
ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for ... -
Lightweight Real-Time Recurrent Models for Speech Enhancement and Automatic Speech Recognition
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)Traditional recurrent neural networks (RNNs) encounter difficulty in capturing long-term temporal dependencies. However, lightweight recurrent models for speech enhancement are important to improve noisy speech, while being ... -
On improvement of speech intelligibility and quality: a survey of unsupervised single channel speech enhancement algorithms
(International Journal of Interactive Multimedia and Artificial Intelligence, 06/2020)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 ... -
Regularized sparse features for noisy speech enhancement using deep neural networks
(Computers and Electrical Engineering, 2022)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 ... -
Spectral phase estimation based on deep neural networks for single channel speech enhancement
(Journal of Communications Technology and Electronics, 12/2019)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 ...