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Noise reduction in speech signals using a TMS320C31 digital signal processor
(2000-12-01)
This paper describes a speech enhancement system (SES) based on a TMS320C31 digital signal processor (DSP) for real-time application. The SES algorithm is based on a modified spectral subtraction method and a new speech ...
Noise reduction in speech signals using a TMS320C31 digital signal processor
(2000-12-01)
This paper describes a speech enhancement system (SES) based on a TMS320C31 digital signal processor (DSP) for real-time application. The SES algorithm is based on a modified spectral subtraction method and a new speech ...
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 ...
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 ...
Comparative Analysis of Objective Distortion Measures for Speech Signals Degraded by Noise
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Autoregressive decomposition and pole tracking applied to vocal fold nodule signals
(2007-08-01)
This letter describes a novel algorithm that is based on autoregressive decomposition and pole tracking used to recognize two patterns of speech data: normal voice and disphonic voice caused by nodules. The presented method ...
Autoregressive decomposition and pole tracking applied to vocal fold nodule signals
(2007-08-01)
This letter describes a novel algorithm that is based on autoregressive decomposition and pole tracking used to recognize two patterns of speech data: normal voice and disphonic voice caused by nodules. The presented method ...
A tutorial on signal energy and its applications
(2016-02-29)
This tutorial, dedicated both to young professionals and students working with digital signal processing and pattern recognition, introduces three feature extraction approaches based on signal energy, characterising ...