The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Fungi are microorganisms that are divided into groups and subgroups according to their similarity, genera, species, and strains. Fusarium is considered a phytopathogen that attacks variety of crops throughout the world, causing diseases resulting in severe economic losses. Many of the Fusarium species cause similar symptoms, making it impossible to distinguish among them based on symptoms alone. Fungicides...
In the present study we examined the potential of Fourier Transformed Infrared (FTIR) spectroscopy for accurate identification and differentiation of mixed bacteria samples in a time span of a few minutes. The bacterial samples used in this study are Escherichia (E.) coli, Bacillus (B.) megaterium and a mixture of E. coli and B. megaterium. The best results of differentiation were obtained within...
This paper presents a comparison between several features normalization methods, and a comparison between different types of Gaussian Mixture Model (GMM) based supervectors normalizations for robust Speaker Verification. We implemented the methods of normalizations as a part of speaker verification system using Support Vector Machine (SVM) classifier and GMM-based supervectors. When implementing the...
In this paper we employ backward Viterbi search for speech recognition. Contrary to forward Viterbi search that is performed from the beginning to the end, and where a word depends on the preceding words, backward Viterbi search is performed from the end to the beginning and the current word depends from the following words. As the errors of the forward and the backward searches are not the same,...
Speaker diarization systems attempt to assign temporal speech segments in a conversation to the appropriate speaker, and non-speech segments to non-speech. Speaker diarization systems basically provide an answer to the question "Who spoke when ?". One inherent deficiency of most current systems is their inability to handle co-channel or overlapped speech. During the past few years, several...
Audio diarization is the process of assigning audio channel temporal segments to the appropriate generating source according to specific acoustic properties. Sources can be speech, music, background noise etc. Speaker diarization systems confronts the problem of segmentation and labeling of a conversation while no prior knowledge on the speakers is available. As human expert segmentation is time and...
A new approach for initial assignment of data in a speaker clustering application is presented. This approach employs segmental k-means clustering algorithm prior to competitive based learning. The clustering system relies on self-organizing maps (SOM) for speaker modeling and as a likelihood estimator. Performance is evaluated on 108 two speaker conversations taken from LDC CALLHOME American English...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.