نتایج جستجو برای: persian continuous speech recognition
تعداد نتایج: 600530 فیلتر نتایج به سال:
this study investigates the strategies native english and persian speakers employ for expressing gratitude in different situations. the strategies of persian efl learners are also compared with english strategies in order to find the differences that may exist between these two languages. social status and size of imposition of the favor are social variables which are investigated in detail for...
In this paper, a new proposed system for Persian printed numeral characters recognition with emphasis on representation and recognition stages is introduced. For the first time, in Persian optical character recognition, geometrical central moments as character image descriptor and fuzzy min-max neural network for Persian numeral character recognition has been used. Set of different experiments ...
arabic and persian poems have numerous common points and poets of these two languages share the same point in style, subject, structure and music of poetry. mahdi akhavan thaleth, famous iranian poet, and boland al-heidari, well-known iraqi poet, are among poets who have many similarities in their works. as an example, there are some conceptual and verbal similarities between qasedak and sae...
Continuous speech recognition applications need precise detection because the number of words to recognize is unknown and vocabulary words can be short. The speech/non-speech detection must be robust to the boundary precision. In this work, a new approach to evaluate detection algorithm for continuous speech recognition is presented. The speech/non-speech detection using energy parameter combin...
Objectives: This paper studies the effect of Persian Cued Speech on the perception of Persian language phonemes and monosyllabic words with and without sound in hearing impaired children. Cued Speech is a sound based mode of communication for hearing impaired people that is comprised of a limited series of hand complements and the normal pattern of speech. And it is shown that it effectively ca...
The pnrnary objective of this basic research program is to develop robust methods and models for speaker-independent acoustic recognition of spontaneously-produced, :ontinuous speech. The work has focussed on developing accurate and detailed models of phonemes and their coarticulation for the purpose of large-vocabulary continuous speech recognition. Important goals of this work are to achieve ...
Context-dependent modeling is a widely used technique for better phone modeling in continuous speech recognition. While different types of contextdependent models have been used, triphones have been known as the most effective ones. In this paper, a Maximum a Posteriori (MAP) estimation approach has been used to estimate the parameters of the untied triphone model set used in data-driven cluste...
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