نتایج جستجو برای: phonetic issues
تعداد نتایج: 317791 فیلتر نتایج به سال:
The traditional view has been that Cognitive Linguistics (CL) is incompatible with formalization. Cognitive linguistics is serious about embodiment and grounding, including imagery and image-schemas, force-dynamics, real-time processing, discourse considerations, mental spaces, context, and so on. It remains true that some properties of embodied language, such as context sensitivity, can not be...
A new high rate binary linear block code construction technique, named as Geometric Construction (GC) codes, was proposed recently [1]. It generates all the even full information rate (optimal) Hamming distance – 4 codes. In this paper, we have enhanced the construction of GC codes with respect to code rate and derived a code family of hamming distance-8 GC codes.
Prosody the study of the intonation, stress and rhythm of speech is now assuming a greater importance in phonetics, phonology and speech technology than ever before. Once regarded as subservient to studies of segmental structure, it is now being seen as providing the ‘framework’ which holds different levels of phonetic description together. The recent past has seen novel views of the phonology ...
Chinese tone has played an important role in the development of phonological theory from distinctive features and autosegmental phonology to Optimality Theory and its various adaptations. This article reviews some past and current issues in the analysis of Chinese tone and points out how the development of theoretical phonology has shaped the highs and lows of this research enterprise. To fruit...
The experimental investigation of response inhibition and the neuropsychological assessment of impulsivity are classically conducted with Go/Nogo tasks, where the participant presses a key for standard (Go) stimuli and withholds the response for deviant (Nogo) ones. However, auditory Go/Nogo tasks frequently fail to elicit the typical ERP correlates of response inhibition (N2, P3). We elaborate...
In this article, growable deep modular neural networks for continuous speech recognition are introduced. These networks can be grown to implement the spatio-temporal information of the frame sequences at their input layer as well as their labels at the output layer at the same time. The trained neural network with such double spatio-temporal association structure can learn the phonetic sequence...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید