Electrocorticographic representations of segmental features in continuous speech
نویسندگان
چکیده
منابع مشابه
Electrocorticographic representations of segmental features in continuous speech
Acoustic speech output results from coordinated articulation of dozens of muscles, bones and cartilages of the vocal mechanism. While we commonly take the fluency and speed of our speech productions for granted, the neural mechanisms facilitating the requisite muscular control are not completely understood. Previous neuroimaging and electrophysiology studies of speech sensorimotor control has t...
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We present the concept of a "Segmental Neural Net" (SNN) for phonetic modeling in continuous speech recognition. The SNN takes as input all the frames of a phonetic segment and gives as output an estimate of the probability of each of the phonemes, given the input segment. By taking into account all the frames of a phonetic segment simultaneously, the SNN overcomes the wellknown conditional-ind...
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Recently, there has been interest in speech recognition with log-linear models that use features for whole segments, for example, words. e segmentation is oen taken from a conventional speech recogniser. However, this limits the performance ofmoving to a newmodel. An alternative is to nd the optimal segmentation. is requires acoustic features for all possible segments, which a recently propos...
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The paper illustrates a search strategy for continuous speech recognition based on the recently developed Fast Segmental Viterbi Algorithm (FSVA) [5], a new search strategy particularly e ective for very large vocabulary word recognition. The FSVA search has been extended to deal with continuous speech using a network that merges a general lexical tree and a set of bigram subtrees generated on ...
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ژورنال
عنوان ژورنال: Frontiers in Human Neuroscience
سال: 2015
ISSN: 1662-5161
DOI: 10.3389/fnhum.2015.00097