Add to ORKGRecent research demonstrates that the diagnosticity of an acoustic dimension for speech categorization is relative to its relationship to the evolving distribution of dimensional regularity across time, and not simply to its fixed value along the dimension. Two studies examine the nature of this dimension-based statistical learning in online word recognition, testing generalization of learning across talkers and across phonetic categories. The results indicate that dimension-based statistical learning generalizes across talkers, but is specific to experienced phonetic categories
Statistical learning has been proposed as a key mechanism in language learning. Our main goal was to...
A core property of language is the ability to generalize beyond observed examples. In two experiment...
There has been a multitude of research focused on statistical learning (SL), the ability to extract ...
Recent research demonstrates that the diagnosticity of an acoustic dimension for speech categorizati...
<p>Speech perception flexibly adapts to short-term regularities of ambient speech input. Recent rese...
Speech processing requires sensitivity to long-term regularities of the native language yet demands ...
Learners segment potential lexical units from syllable streams when statistically variable transitio...
The ability to perceptually “reweight” acoustic dimensions in response to changes in distributional ...
Humans have remarkable statistical learning abilities for verbal speech-like materials and for nonve...
Listeners adapt to specific speakers' speech cue distributions and generalize the adaptation to the ...
This paper deals with the relation of acoustic-phonetic knowledge and its role in automatic speech r...
The acoustic variation in language presents learners with a substantial challenge. To learn by track...
In this work, normalization techniques in the acoustic feature space are studied which improve the r...
The acoustic variation in language presents learners with a substantial challenge. To learn by track...
Statistical learning has been proposed as a key mechanism in language learning. Our main goal was to...
Statistical learning has been proposed as a key mechanism in language learning. Our main goal was to...
A core property of language is the ability to generalize beyond observed examples. In two experiment...
There has been a multitude of research focused on statistical learning (SL), the ability to extract ...
Recent research demonstrates that the diagnosticity of an acoustic dimension for speech categorizati...
<p>Speech perception flexibly adapts to short-term regularities of ambient speech input. Recent rese...
Speech processing requires sensitivity to long-term regularities of the native language yet demands ...
Learners segment potential lexical units from syllable streams when statistically variable transitio...
The ability to perceptually “reweight” acoustic dimensions in response to changes in distributional ...
Humans have remarkable statistical learning abilities for verbal speech-like materials and for nonve...
Listeners adapt to specific speakers' speech cue distributions and generalize the adaptation to the ...
This paper deals with the relation of acoustic-phonetic knowledge and its role in automatic speech r...
The acoustic variation in language presents learners with a substantial challenge. To learn by track...
In this work, normalization techniques in the acoustic feature space are studied which improve the r...
The acoustic variation in language presents learners with a substantial challenge. To learn by track...
Statistical learning has been proposed as a key mechanism in language learning. Our main goal was to...
Statistical learning has been proposed as a key mechanism in language learning. Our main goal was to...
A core property of language is the ability to generalize beyond observed examples. In two experiment...
There has been a multitude of research focused on statistical learning (SL), the ability to extract ...