The typical feature learning methods for SEC include bag of words [5], sparse coding [6], exemplar-based coding [7], and deep learning (DL) [8].
As in [20],[24], we will convert the weights assigned to the exemplars when coding unknown speech signals into estimates of the probability that a frame in the unknown signal corresponds to one of the states.
No identifying details are reported in this paper, and only participant codes are used with exemplars.
Just like the Internet, where open standards backed by implementable code and use-case exemplars are universally adopted, all actors and stakeholders in the process of scientific discovery and publication must be involved if we are to achieve bioinformatics standards of comparable universality.
This paper investigates a computational model that combines a frontend based on an auditory model with an exemplar-based sparse coding procedure for estimating the posterior probabilities of sub-word units when processing noisified speech.
In his latest arachnid study, Shultz [ 22] offered a thorough revision of arachnid morphology and employed the species exemplar approach for coding characters, i.e. reflecting taxon polymorphism.
In addition, they employed a species exemplar approach for coding the morphological characters, reflecting in the analysis the morphological diversity of the orders, which allows at the same time a test of their monophyly.
Coding abbreviations: LZE Livezey & Zusi (2007) exemplar taxon; LZC Livezey & Zusi (2007) exemplar congener; OST coded from osteological specimen.
NVivo9, a qualitative software programme, expedited organisation and coding of data and helped to identify exemplars and representative quotations.> We interviewed a diverse range of individuals (n = 16) who were involved in GM-HFIT as providers or recipients (see Table 2).
Sparse coding is best conceived of as an exemplar-based approach [21] in which unknown inputs are coded as positive (weighted) sums of items in an exemplar dictionary.
