Phonetic dictionaries are essential components of large-vocabulary speaker-independent speech recognition systems. This paper presents a rule-based technique to generate phonetic dictionaries for a large vocabulary Arabic speech recognition system. The system used conventional Arabic pronunciation rules, common pronunciation rules of Modern Standard Arabic, as well as some common dialectal case...

the phoneme /l/ is one of the phonemes of persian, which has different origins. a few of which is unknown. this article studies the historical change of /l/ phoneme and phonemes and clusters which are the origins of /l/, from proto indo- european to indo- iranian, old iranian and middle and new persian. in adition, the historical change of other phonems such as group of consonants , which are o...

Keyword spotting (or spoken term detection) is an interesting task in Music Information Retrieval that can be applied to a number of problems. Its purposes include topical search and improvements for genre classification. Keyword spotting is a well-researched task on pure speech, but state-of-the-art approaches cannot be easily transferred to singing because phoneme durations have much higher v...

Currently popular systems for classification of spelling words or errors emphasize the learning of phoneme-grapheme correspondences and memorization of irregular words, but do not take into account the morphophonemic nature of the English language. This study is based on the premise that knowledge of the morphological rules of derivational morphology is acquired developmentally and is related t...

In this study we present a Deep Mixture of Experts (DMoE) neural-network architecture for single microphone speech enhancement. By contrast to most speech enhancement algorithms that overlook the speech variability mainly caused by phoneme structure, our framework comprises a set of deep neural networks (DNNs), each one of which is an ‘expert’ in enhancing a given speech type corresponding to a...

Grapheme-to-phoneme conversion (GTPC) has been achieved in most European languagesby dictionary look-up or using rules. The application of these methods, however, in the reverse process, (i.e., in phoneme-to-grapheme conversion [PTGC]) creates serious problems, especially in inflectionally rich languages. In this paper the PTGC problem is approached from a completely different point of view. In...

on the set of diphones is quite straightforward in the sense that it suuces to take the phoneme inventory of a language , and simply combine each phoneme with every other one. For example, taking the approximately 35 French phonemes, 1225 phonemic pairs (35x35) constitute the complete and exhaustive starting diphone inventory. On the other hand, deciding on the set of triphones, quadriphones an...