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Blind source separation: A review and analysis
Blind Source Separation (BSS) refers to a problem where both the sources and the mixing
methodology are unknown, only mixture signals are available for further separation process …
methodology are unknown, only mixture signals are available for further separation process …
Speech source separation using a generalized mean shift algorithm
Speech source separation in the time–frequency domain is a modern approach that exploits
the sparsity of speech when it is represented in such domain. Several methods based on …
the sparsity of speech when it is represented in such domain. Several methods based on …
Security in the speech cryptosystem based on blind sources separation
In this paper, an appropriate selection for the key is investigated to enhance the security
level of the speech cryptosystem based on blind sources separation. In fact, if an appropriate …
level of the speech cryptosystem based on blind sources separation. In fact, if an appropriate …
[HTML][HTML] Speech enhancement algorithms for audiological applications
DA Alvarez - 2013 - dialnet.unirioja.es
La mejora de la calidad de la voz es un problema que, aunque ha sido abordado durante
muchos años, aún sigue abierto. El creciente auge de aplicaciones tales como los sistemas …
muchos años, aún sigue abierto. El creciente auge de aplicaciones tales como los sistemas …
Adaptive Separation Model for Electromagnetic Pulse Coupling Signals of Engine Digital Controllers
K Chen, M Wei, J Cao, X Chen, S Li - Journal of Electrical Engineering & …, 2022 - Springer
The engine digital controller is vulnerable to attacks of wide-spectrum and uncertain
electromagnetic pulses (EMPs). To address this issue, herein, we propose a novel “internal …
electromagnetic pulses (EMPs). To address this issue, herein, we propose a novel “internal …
Blind Source Separation Based on random mixing coefficient
Blind source separation (BSS) is the extraction (estimation) of the original signals from
mixed signals, without knowledge (or very little information) on the source signals or the …
mixed signals, without knowledge (or very little information) on the source signals or the …
Post-Processing for the Mask of Computational Auditory Scene Analysis in Monaural Speech Segregation
WH Lai, CJ Yang, SL Wang - Computación y Sistemas, 2017 - scielo.org.mx
Speech segregation is one of the most difficult tasks in speech processing. This paper uses
computational auditory scene analysis, support vector machine classifier, and post …
computational auditory scene analysis, support vector machine classifier, and post …
جداسازی منابع سیگنال صوتی زیرآب با استفاده از الگوریتم انتقال میانگین گوسی وزن دهی شده تعمیم یافته
محمودزاده آذر, آگاهی حامد - 2022 - sid.ir
جداسازی منابع صوتی یکی از مهم ترین زیر شاخه های بهسازی سیگنال صوتی به شمار می رود, که در
هنگام مخلوط شدن سیگنال های صوتی و در حضور نویز اهمیت بیشتری پیدا می کند. در این مقاله, با …
هنگام مخلوط شدن سیگنال های صوتی و در حضور نویز اهمیت بیشتری پیدا می کند. در این مقاله, با …
Time-frequency voiced and unvoiced excitation models for harmonic speech systems
Time-frequency voiced and unvoiced models are proposed for the excitation of a harmonic
autoregressive wideband speech analysis-synthesis system. The time-frequency voiced …
autoregressive wideband speech analysis-synthesis system. The time-frequency voiced …
[فهرست منابع][C] Underwater Acoustic Signal Source Separation using the Generalized Weighted Gaussian Mean Shift Algorithm
A Mahmoodzadeh, H Agahi - 2022