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TuBCT9.50.rar
... a novel approach to audio segmentation
is presented. The problem of detecting audio segments’
limits is treated as a binary classification task.
Frames are classified as “segment limits” vs “nonsegment
limits”. For each audio frame a spectrogram
is ...
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kulkarniIyerSridharan-AudioSegmentation.rar
... domain
features. The algorithm has been designed in 2 stages.
In the first stage, a vocal/non-vocal/silence classification
is done using multinomial softmax regression. The
second stage uses a hidden Markov model to ‘smooth’
the previous output as ...
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imm3851.rar
... describes the work done on the development of an audio segmentation and classification system. Many existing works on audio ... segment and classify audio signals using these features. The classification methods used include the General Mixture Model (GMM) ...
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fMLP.rar
An English letters classification program base on backpropagation neural networks and fuzzy neural networks.
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Method_1D_PCA.zip
Program for Face Recognition (with example ORL Data base) used PCA. It showed all process data reduction, classification end visualisation
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