Study of speech analysis techniques for the phonemes classification using fuzzy logic

Author(s):  
Ines Ben Fredj ◽  
Kais Ouni
2021 ◽  
Author(s):  
Tanweer Mozaffar

Using biometrics for personal identity authentication is becoming more reliable and accurate than current methods because it links the event to a particular individual (e.g. a password may be used by someone other that the authorized user), is convenient (nothing to carry or remember), accurate (provides positive authentication) and is socially acceptable. Adaptive frequency sub-band or time frame recombination approaches are introduced in this thesis.


2021 ◽  
Author(s):  
Tanweer Mozaffar

Using biometrics for personal identity authentication is becoming more reliable and accurate than current methods because it links the event to a particular individual (e.g. a password may be used by someone other that the authorized user), is convenient (nothing to carry or remember), accurate (provides positive authentication) and is socially acceptable. Adaptive frequency sub-band or time frame recombination approaches are introduced in this thesis.


Author(s):  
Horia-Nicolai L. Teodorescu

Voice and speech communication is a major topic covering simultaneously ’communication’, ’control’ (because it often involves control in the coding algorithms), and ’computing’ - from speech analysis and recognition, to speech analytics and to speech coding over communication channels. While fuzzy logic was specifically con- ceived to deal with language and reasoning, it has yet a limited use in the referred field. We discuss some of the main current applications from the perspective of half a century since fuzzy logic inception.


1992 ◽  
Vol 23 (2) ◽  
pp. 111-138 ◽  
Author(s):  
DENISE BROCHETTI ◽  
MARJORIE P. PENFIELD ◽  
SAMUEL B. BURCHFIELD

Author(s):  
Giuseppe D’Aniello ◽  
Massimo De Falco ◽  
Matteo Gaeta ◽  
Francesca Loia

Social networks, forums and blogs are widely considered as a valuable source of information for many applications and in different domains. Being able to extract, analyze and use the knowledge, opinions and sentiments the users share on the Web can become a competitive advantage for any company or organization. Specifically, information about the feelings and the opinions of the users of a Web community with respect to a product or a service can be useful for marketing.  In this context, the concept of collective perception is gaining momentum as a way to process, evaluate and quantify the perception and the sentiment that a community of users share about a given phenomenon. In this work, we propose an approach, based on Fuzzy Logic and Sentiment Analysis techniques, which allows to evaluate, also in a quantitative manner, the collective perception of a Web community with respect to a specific product or service. Keywords: Collective Perception; Analytical Marketing; Fuzzy Logic; Sentiment Analysis.


Author(s):  
John A. Hunt

Spectrum-imaging is a useful technique for comparing different processing methods on very large data sets which are identical for each method. This paper is concerned with comparing methods of electron energy-loss spectroscopy (EELS) quantitative analysis on the Al-Li system. The spectrum-image analyzed here was obtained from an Al-10at%Li foil aged to produce δ' precipitates that can span the foil thickness. Two 1024 channel EELS spectra offset in energy by 1 eV were recorded and stored at each pixel in the 80x80 spectrum-image (25 Mbytes). An energy range of 39-89eV (20 channels/eV) are represented. During processing the spectra are either subtracted to create an artifact corrected difference spectrum, or the energy offset is numerically removed and the spectra are added to create a normal spectrum. The spectrum-images are processed into 2D floating-point images using methods and software described in [1].


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