Buscar
Mostrando ítems 1-10 de 1553
Comparative Analysis of Objective Distortion Measures for Speech Signals Degraded by Noise
(Institute of Electrical and Electronics Engineers (IEEE), 2006-01-01)
Speech signals degraded by additive noise can affects different applications in telecommunication. The noise may degrades the intelligibility of the speech signals and its waveforms as well. In some applications such as ...
Comparative Analysis of Objective Distortion Measures for Speech Signals Degraded by Noise
(Institute of Electrical and Electronics Engineers (IEEE), 2006-01-01)
Speech signals degraded by additive noise can affects different applications in telecommunication. The noise may degrades the intelligibility of the speech signals and its waveforms as well. In some applications such as ...
MODELING THE UNVOICED COMPONENT IN THE CANONICAL REPRESENTATION OF SPEECH
(IEEE, 2009)
The canonical representation of speech constitutes a perfect reconstruction (PR) analysis-synthesis system. Its parameters are the autoregressive (AR) model coefficients, the pitch period and the voiced and unvoiced ...
Comparative Analysis of Objective Distortion Measures for Speech Signals Degraded by Noise
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Análise e síntese da fala por interpolação de ondas
(Universidade Federal de UberlândiaBRPrograma de Pós-graduação em Engenharia ElétricaEngenhariasUFU, 2016)
Improving brain-to-text models utilizing recurrent neural networks and transfer learning for neuroprosthetic speech
(2023)
This PhD thesis focuses on the decoding of silent speech from electroencephalogram (EEG) signals using Brain-Computer Interfaces (BCIs) and transfer learning tech- niques. Silent speech, also known as imagined speech, ...
Modeling, estimating, and compensating low-bit rate coding distortion in speech recognitionIEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSINGIEEE TRANS SPEECH AUDIO PROCESS.
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 2017)