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Identifying Nonwords: Effects of Lexical Neighborhoods, Phonotactic Probability, and Listener Characteristics
executive control hearing impairment individual differences neighborhood density phonotactic probability speech processing
2015/4/24
Listeners find it relatively difficult to recognize words that are similar-sounding to other known words. In contrast, when asked to identify spoken nonwords, listeners perform better when the nonword...
Changing only the probability that spoken words will be distorted changes how they are recognized
Changing only the probability distorted changes they are recognized
2015/4/21
An eye-tracking experiment examined contextual flexibility in speech processing in response to distortions in spoken input. Dutch participants heard Dutch sentences containing critical words and saw f...
SEMI-CONTINUOUS SEGMENTAL PROBABILITY MODELING FOR CONTINUOUS SPEECH RECOGNITION
semi-continuous segmental probability model (SCSPM) speech recognition unit mixed Gaussian densities pruning technique
2013/6/27
In this paper the design of semi-continuous segmental probability models (SCSPMs) in large vocabulary continuous speech recogn ition is presented. The tied Gaussian densities are trained using data fr...
Theories of presupposition in the tradition associated with Karttunen, Stalnaker and Heim relate presupposition satisfaction to the content of conversational participants’ epistemic states, usually mo...
A TWO-STEP KEYWORD SPOTTI NG METHOD BASED ON CONTEXT-DEPENDENT A POSTERIORI PROBABILITY
A TWO-STEP KEYWORD SPOTTI NG METHOD BASED CONTEXT-DEPENDENT POSTERIORI PROBABILITY
2013/6/27
Keyword weighting plays an important role in traditional keyword spotting (KWS) systems: it helps detect keyword candidates in an utterance so that they will not be missed. However, if the keywords ar...
NON-LINEAR PROBABILITY ESTIMATION METHOD USED IN HMM FOR MODELING FRAME CORRELATION
NON-LINEAR PROBABILITY ESTIMATION METHOD USED HMM MODELING FRAME CORRELATION
2013/6/27
In this paper we present a novel method to incorporate temporal correlation into a speech recognition system based on HMM. An obvious way to incorporate temporal correlation is to condition the probab...
Center-Distance Continuous Probability Models And the Distance Measure
Center-Distance Continuous Probability Model (CDCPM) Center-Distance Normal (CDN) Distribution Embedded Multiple-Model (EMM) scheme Minimum ClassificationError(MCE)
2013/6/27
Inthis paper,a newstatistic model named Center-Distance Continuous Probability Model (CDCPM) for speech recognition is described, which is based on Center-Distance Normal(CDN)distribution.InaCDCPM,the...