Abstract:Speech comprehension is resistant to acoustic distortion in the input, reflecting listeners' ability to adjust perceptual processes to match the speech input. This adjustment is reflected in improved comprehension of distorted speech with experience. For noise vocoding, a manipulation that removes spectral detail from speech, listeners' word report showed a significantly greater improvement over trials for listeners that heard clear speech presentations before rather than after hearing distorted speech (clear-… Show more
“…Previous behavioral studies have shown that the provision of relevant prior knowledge enhances both immediate perceptual clarity (1,29,35,45,46) and perceptual learning of degraded speech (6,14,(16)(17)(18). However, our work goes beyond these behavioral studies by identifying a common neural signal (reductions in the STG response) that is associated with both these effects.…”
Section: Common Mechanisms For Prior Knowledge and Perceptual Learningcontrasting
confidence: 40%
“…As described in SI Discussion, this account provides a neural implementation of "attentional weighting" theories of perceptual learning (5); with learning arising from Hebbian weight updates that minimize prediction errors when degraded speech matches prior predictions. This account therefore explains why perceptual learning of vocoded speech is enhanced when the content of degraded speech is predicted accurately (6,18); these trials lead to learning by allowing listeners to attend more appropriately to informative sensory features in degraded speech (5,7,62,63).…”
Section: A Predictive Coding Account Of Speech Perception and Perceptualmentioning
confidence: 99%
“…During the training phase, participants completed a modified version of the clarity-rating task previously used in behavioral and MEG studies combined with a manipulation of prior knowledge previously shown to enhance perceptual learning of degraded (vocoded) speech (Fig. 1B) (6,18,23). Speech was presented with three, six, or 12 channels of sensory detail.…”
Section: Methodsmentioning
confidence: 99%
“…Dual-mechanism accounts therefore propose that the influence of prior knowledge resides at a hierarchically late (e.g., decision) stage of processing and attribute the effect of learning to offline synaptic changes in earlier-level sensory cortex that take place after sensory stimulation (14,15). However, other work has shown that perceptual learning of degraded stimuli is enhanced if accurate prior knowledge is provided before the presentation of degraded or otherwise ambiguous sensory input (6,14,(16)(17)(18). Consistent with this behavioral association, alternative single-mechanism accounts have proposed that a single system containing multiple interacting levels of representation supports the effects of both prior knowledge and perceptual learning (15,19,20).…”
Human perception is shaped by past experience on multiple timescales. Sudden and dramatic changes in perception occur when prior knowledge or expectations match stimulus content. These immediate effects contrast with the longer-term, more gradual improvements that are characteristic of perceptual learning. Despite extensive investigation of these two experience-dependent phenomena, there is considerable debate about whether they result from common or dissociable neural mechanisms. Here we test single-and dualmechanism accounts of experience-dependent changes in perception using concurrent magnetoencephalographic and EEG recordings of neural responses evoked by degraded speech. When speech clarity was enhanced by prior knowledge obtained from matching text, we observed reduced neural activity in a peri-auditory region of the superior temporal gyrus (STG). Critically, longer-term improvements in the accuracy of speech recognition following perceptual learning resulted in reduced activity in a nearly identical STG region. Moreover, short-term neural changes caused by prior knowledge and longer-term neural changes arising from perceptual learning were correlated across subjects with the magnitude of learninginduced changes in recognition accuracy. These experience-dependent effects on neural processing could be dissociated from the neural effect of hearing physically clearer speech, which similarly enhanced perception but increased rather than decreased STG responses. Hence, the observed neural effects of prior knowledge and perceptual learning cannot be attributed to epiphenomenal changes in listening effort that accompany enhanced perception. Instead, our results support a predictive coding account of speech perception; computational simulations show how a single mechanism, minimization of prediction error, can drive immediate perceptual effects of prior knowledge and longer-term perceptual learning of degraded speech.perceptual learning | predictive coding | speech perception | magnetoencephalography | vocoded speech S uccessful perception in a dynamic and noisy environment critically depends on the brain's capacity to change how sensory input is processed based on past experience. Consider the way in which perception is enhanced by accurate prior knowledge or expectations. Sudden and dramatic changes in subjective experience can occur when a distorted and otherwise unrecognizable perceptual object is seen or heard after the object's identity is revealed (1-4). Such effects occur almost immediately; striking changes in perceptual outcomes occur over a timescale of seconds or less. However, not all effects of past experience emerge as rapidly as these effects of prior knowledge. With perceptual learning, practice in perceiving certain types of stimuli results in gradual and incremental improvements in perception that develop over a timescale of minutes or longer (Fig. 1A) (5, 6, 7). Critically, perceptual learning can generalize beyond the stimuli experienced during training, e.g., to visual forms presented in dif...
“…Previous behavioral studies have shown that the provision of relevant prior knowledge enhances both immediate perceptual clarity (1,29,35,45,46) and perceptual learning of degraded speech (6,14,(16)(17)(18). However, our work goes beyond these behavioral studies by identifying a common neural signal (reductions in the STG response) that is associated with both these effects.…”
Section: Common Mechanisms For Prior Knowledge and Perceptual Learningcontrasting
confidence: 40%
“…As described in SI Discussion, this account provides a neural implementation of "attentional weighting" theories of perceptual learning (5); with learning arising from Hebbian weight updates that minimize prediction errors when degraded speech matches prior predictions. This account therefore explains why perceptual learning of vocoded speech is enhanced when the content of degraded speech is predicted accurately (6,18); these trials lead to learning by allowing listeners to attend more appropriately to informative sensory features in degraded speech (5,7,62,63).…”
Section: A Predictive Coding Account Of Speech Perception and Perceptualmentioning
confidence: 99%
“…During the training phase, participants completed a modified version of the clarity-rating task previously used in behavioral and MEG studies combined with a manipulation of prior knowledge previously shown to enhance perceptual learning of degraded (vocoded) speech (Fig. 1B) (6,18,23). Speech was presented with three, six, or 12 channels of sensory detail.…”
Section: Methodsmentioning
confidence: 99%
“…Dual-mechanism accounts therefore propose that the influence of prior knowledge resides at a hierarchically late (e.g., decision) stage of processing and attribute the effect of learning to offline synaptic changes in earlier-level sensory cortex that take place after sensory stimulation (14,15). However, other work has shown that perceptual learning of degraded stimuli is enhanced if accurate prior knowledge is provided before the presentation of degraded or otherwise ambiguous sensory input (6,14,(16)(17)(18). Consistent with this behavioral association, alternative single-mechanism accounts have proposed that a single system containing multiple interacting levels of representation supports the effects of both prior knowledge and perceptual learning (15,19,20).…”
Human perception is shaped by past experience on multiple timescales. Sudden and dramatic changes in perception occur when prior knowledge or expectations match stimulus content. These immediate effects contrast with the longer-term, more gradual improvements that are characteristic of perceptual learning. Despite extensive investigation of these two experience-dependent phenomena, there is considerable debate about whether they result from common or dissociable neural mechanisms. Here we test single-and dualmechanism accounts of experience-dependent changes in perception using concurrent magnetoencephalographic and EEG recordings of neural responses evoked by degraded speech. When speech clarity was enhanced by prior knowledge obtained from matching text, we observed reduced neural activity in a peri-auditory region of the superior temporal gyrus (STG). Critically, longer-term improvements in the accuracy of speech recognition following perceptual learning resulted in reduced activity in a nearly identical STG region. Moreover, short-term neural changes caused by prior knowledge and longer-term neural changes arising from perceptual learning were correlated across subjects with the magnitude of learninginduced changes in recognition accuracy. These experience-dependent effects on neural processing could be dissociated from the neural effect of hearing physically clearer speech, which similarly enhanced perception but increased rather than decreased STG responses. Hence, the observed neural effects of prior knowledge and perceptual learning cannot be attributed to epiphenomenal changes in listening effort that accompany enhanced perception. Instead, our results support a predictive coding account of speech perception; computational simulations show how a single mechanism, minimization of prediction error, can drive immediate perceptual effects of prior knowledge and longer-term perceptual learning of degraded speech.perceptual learning | predictive coding | speech perception | magnetoencephalography | vocoded speech S uccessful perception in a dynamic and noisy environment critically depends on the brain's capacity to change how sensory input is processed based on past experience. Consider the way in which perception is enhanced by accurate prior knowledge or expectations. Sudden and dramatic changes in subjective experience can occur when a distorted and otherwise unrecognizable perceptual object is seen or heard after the object's identity is revealed (1-4). Such effects occur almost immediately; striking changes in perceptual outcomes occur over a timescale of seconds or less. However, not all effects of past experience emerge as rapidly as these effects of prior knowledge. With perceptual learning, practice in perceiving certain types of stimuli results in gradual and incremental improvements in perception that develop over a timescale of minutes or longer (Fig. 1A) (5, 6, 7). Critically, perceptual learning can generalize beyond the stimuli experienced during training, e.g., to visual forms presented in dif...
“…However, a recent follow-up study modified this conclusion (Hervais-Adelman, Davis, Johnsrude, & Carlyon, 2008). Hervais-Adelman et al hypothesized that listeners in their previous study might have failed to learn from sentences made up of nonwords because such stimuli could be quite difficult to keep in memory, preventing perceptual learning processes from operating on them.…”
Section: I3 Perceptual Learning For Degraded Speech Inputmentioning
Adult language users have an enormous amount of experience with speech in their native language. As a result, they have very well-developed processes for categorizing the sounds of speech that they hear. Despite this very high level of experience, recent research has shown that listeners are capable of redeveloping their speech categorization to bring it into alignment with new variation in their speech input. This reorganization of phonetic space is a type of perceptual learning, or recalibration, of speech processes. In this article, we review several recent lines of research on perceptual learning for speech.
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