Headstart for speech segmentation: a neural signature for the anchor word effect.
نویسندگان
چکیده
Learning a new language is an incremental process that builds upon previously acquired information. To shed light on the mechanisms of this incremental process, we studied the on-line neurophysiological correlates of the so-called anchor word effect where newly learned words facilitate segmentation of novel words from continuous speech. Higher segmentation performance was observed for speech streams embedded with newly learned anchor words. The anchor words elicited an enhanced Stimulus-preceding negativity (SPN) component considered to be an index of expectation for incoming relevant information. Moreover, we confirmed a previously reported N400 amplitude increase for the to-be-segmented novel words, indicating a bottom-up learning process whereby new memory representations for the novel words emerge. We propose that the anchor word effect indexed by SPN reflects an expectation for an incoming novel word at the offset of the anchor word, thus facilitating the segmentation process.
منابع مشابه
Word 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 کاملCracking the language code: neural mechanisms underlying speech parsing.
Word segmentation, detecting word boundaries in continuous speech, is a critical aspect of language learning. Previous research in infants and adults demonstrated that a stream of speech can be readily segmented based solely on the statistical and speech cues afforded by the input. Using functional magnetic resonance imaging (fMRI), the neural substrate of word segmentation was examined on-line...
متن کاملThe Effect of Word Meaning on Speech DysFluency in Adults with Developmental Stuttering
Objectives: Stuttering is one of the most prevalent speech and language disorders. Symptomology of stuttering has been surveyed from different aspects such as biological, developmental, environmental, emotional, learning and linguistic. Previous researches in English-speaking people have suggested that some linguistic features such as word meanings may play a role in the frequency of speech non...
متن کاملسایکوآکوستیک و درک گفتار در افراد مبتلا به نوروپاتی شنوایی و افراد طبیعی
Background: The main result of hearing impairment is reduction of speech perception. Patient with auditory neuropathy can hear but they can not understand. Their difficulties have been traced to timing related deficits, revealing the importance of the neural encoding of timing cues for understanding speech. Objective: In the present study psychoacoustic perception (minimal noticeable differen...
متن کاملLearning of Word Boundaries In Continuous Speech Using Time Delay Neural Networks
This paper presents early research results for a method for training neural networks to segment previously unseen continuous speech data into words, without the use of a lexicon or a speech recognition engine, or any other forms of supervision. The initial word segmentation is derived through a simple and naï ve method, and our method then leverages the time-invariant properties of the TDNN to ...
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:
- Neuropsychologia
دوره 82 شماره
صفحات -
تاریخ انتشار 2016