Consumer value is an essential aspect for the success of commercial platforms dealing with virtual music. It leads to successful adoption by end users. New value propositions being enabled by technological innovations are possible. In this paper we present recent work in the field of music information retrieval (MIR) satisfying the requirements, which have been proposed in value-based modeling ...

Spell checking is no longer considered a big challenge for natural language processing, at least regarding the task of correcting documents during edition. Nevertheless, without human interaction, it is necessary to automatically choose the word that will more likely correct the misspelled word. Also, there is a further difficulty for spell checking: new types of errors on the web material have...

In this paper we propose a simple, flexible and efficient hybrid spell checking methodology based upon phonetic matching, supervised learning and associative matching in the AURA neural system. We evaluate our approach against several benchmark spell-checking algorithms for recall accuracy. Our proposed hybrid methodology has the joint highest top 10 recall rate of the techniques evaluated. The...

Phonetic matching plays an important role in multilingual information retrieval, where data is manipulated in multiple languages. User needs information in their local language which may be different from the language where data has been maintained. In such an environment, we need a system which matches the strings phonetically irrespective of errors either exactly or approximately. There are m...

Numerous studies have documented the phenomenon of phonetic imitation: the process by which the production patterns of an individual become more similar on some phonetic or acoustic dimension to those of her interlocutor. Though social factors have been suggested as a motivator for imitation, few studies has established a tight connection between language-external factors and a speaker's likeli...

In this paper, we present some recent improvements in our automatic speech segmentation system, which only needs the speech signal and the phonetic sequence of each sentence of a corpus to be trained. It estimates a GMM by using all the sentences of the training subcorpus, where each Gaussian distribution represents an acoustic class, which probability densities are combined with a set of condi...