Syllable as a synchronization mechanism that makes human speech possible
نویسنده
چکیده
Speech is a communication system that transmits information by using aerodynamics of articulatory movements to generate sequences of alternating sounds. For this system to work, the articulators need to shift their state frequently and rapidly in order to encode as much information as possible in a given period of time, and the many articulators involved need to be coordinated so as to make the central control of their rapid movements possible. These demands are met by the syllable, a temporal coordination mechanism whose main function is to synchronize multiple articulatory movements so as to make speaking possible. This coordination involves three basic mechanisms: target approximation, edge synchronization and tactile anchoring. With target approximation, articulatory movements successively approach non-overlapping underlying targets. With edge synchronization, multiple articulatory movements are aligned by their onsets and offsets. And with tactile anchoring, contact sensations during segments with relatively tight closure provide alignment references for the synchronization. This synchronization mechanism is the source of many speech phenomena, from segmental coarticulation to tonal alignment, and from normal adult production to child acquisition and speech disorders. It is also what links speech to motor movements in general.
منابع مشابه
A syllable-synchronous network search algorithm for word decoding in Chinese speech recognition
The Chinese language is syllabic in nature with frequent homonym phenomena and severe word boundary uncertainty problem. This makes the Chinese continuous speech recognition (CSR) slightly difficult. In order to solve these problems, a Chinese syllable-synchronous network search (SSNS) algorithm is proposed. Together with the vocabulary word search tree and the N-gram based language model, the ...
متن کاملOn the temporal domain of co-speech gestures: syllable, phrase or talk spurt?
This study explores the use of automatic methods to detect and extract hand gesture movement co-occuring with speech. Two spontaneous dyadic dialogues were analyzed using 3D motion-capture techniques to track hand movement. Automatic speech/non-speech detection was performed on the dialogues resulting in a series of connected talk spurts for each speaker. Temporal synchrony of onset and offset ...
متن کاملWord segmentation in Persian continuous speech using F0 contour
Word segmentation in continuous speech is a complex cognitive process. Previous research on spoken word segmentation has revealed that in fixed-stress languages, listeners use acoustic cues to stress to de-segment speech into words. It has been further assumed that stress in non-final or non-initial position hinders the demarcative function of this prosodic factor. In Persian, stress is retract...
متن کاملReliable Prominence Identification in English Spontaneous Speech
This paper presents a follow up of a study on the automatic detection of prosodic prominence in spontaneous speech. Prosodic prominence involves two different prosodic features, pitch accent and stress, that are typically based on four acoustic parameters: fundamental frequency (F0) movements, overall syllable energy, syllable nuclei duration and mid-tohigh-frequency emphasis. A careful measure...
متن کاملDevelopment of syllable structure in Azeri-speaking children
Introduction: the length and complexity of syllable structure in the utterances of the children increases with age.Given the important and determining role of syllable in the speech process, performance of developmental studies on syllable acquisition in children are essential. The aim of the present study was to investigate the development and acquisition of syllable structure and the distribu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016