scholarly journals Dynamics of Self-monitoring and Error Detection in Speech Production: Evidence from Mental Imagery and MEG

2015 ◽  
Vol 27 (2) ◽  
pp. 352-364 ◽  
Author(s):  
Xing Tian ◽  
David Poeppel
Keyword(s):  
Speech Production ◽  
Mental Imagery ◽  
Error Detection ◽  
Auditory Feedback ◽  
Spectral Difference ◽  
Self Monitoring ◽  
Onset Delay ◽  
Nonmonotonic Function ◽  
Four Levels ◽  
Pitch Shift

A critical subroutine of self-monitoring during speech production is to detect any deviance between expected and actual auditory feedback. Here we investigated the associated neural dynamics using MEG recording in mental-imagery-of-speech paradigms. Participants covertly articulated the vowel /a/; their own (individually recorded) speech was played back, with parametric manipulation using four levels of pitch shift, crossed with four levels of onset delay. A nonmonotonic function was observed in early auditory responses when the onset delay was shorter than 100 msec: Suppression was observed for normal playback, but enhancement for pitch-shifted playback; however, the magnitude of enhancement decreased at the largest level of pitch shift that was out of pitch range for normal conversion, as suggested in two behavioral experiments. No difference was observed among different types of playback when the onset delay was longer than 100 msec. These results suggest that the prediction suppresses the response to normal feedback, which mediates source monitoring. When auditory feedback does not match the prediction, an “error term” is generated, which underlies deviance detection. We argue that, based on the observed nonmonotonic function, a frequency window (addressing spectral difference) and a time window (constraining temporal difference) jointly regulate the comparison between prediction and feedback in speech.

Error Monitoring in People Who Stutter

1992 ◽  
Vol 35 (5) ◽  
pp. 1024-1032 ◽  
Author(s):  
Albert Postma ◽  
Herman Kolk
Keyword(s):  
False Alarm ◽  
White Noise ◽  
Speech Production ◽  
Error Detection ◽  
Auditory Feedback ◽  
The Self ◽  
Tape Recording ◽  
Detection Accuracy ◽  
Error Monitoring ◽  
Self Monitoring

Several theories purport that people who stutter suffer a speech-auditory feedback defect. The disordered feedback creates the illusion that some kind of error has intruded into the speech flow. Stuttering then results from actions aimed to correct the suspected, but nonexistent, error. These auditory feedback defect theories thus predict deviant error detection performance in people who stutter during speech production. To test this prediction, subjects who stuttered and those who did not had to detect self-produced (phonemic) speech errors while speaking with normal auditory feedback and with the auditory feedback masked by white noise. The two groups did not differ significantly in error detection accuracy and speed, nor in false alarm scores. This opposes auditory feedback defect theories and suggests that the self-monitoring processes of people who stutter function normally. In a condition in which errors had to be detected in other-produced speech, i.e., while listening to a tape recording, subjects who stuttered did detect fewer errors. Whether this might signal some general phonological problem is discussed.

Self-monitoring in speech production: effects of verbal hallucinations and negative symptoms

1994 ◽  
Vol 24 (3) ◽  
pp. 749-761 ◽  
Author(s):  
I. Leudar ◽  
P. Thomas ◽  
M. Johnston
Keyword(s):  
Speech Production ◽  
Error Detection ◽  
Negative Symptoms ◽  
Self Monitoring ◽  
Acoustic Feedback ◽  
Production Effects ◽  
Internal Error

SynopsisThis paper reports results of a study on self-monitoring in speech production. Thirty schizophrenics, varying in verbal hallucination and in negative symptoms status, and 17 controls were tested on the reporter test. The position of interruptions of the speech-flow to repair errors was used to indicate whether the detection of the errors was through monitoring of internal phonetic plans or through external acoustic feedback. We have found that the internal error detection was twice as frequent in controls as in schizophrenics. The relevance of this finding to Frith's (1992) model of schizophrenia is discussed. Our conclusion is that the problem with internal monitoring of phonetic plans is common to all schizophrenics, and not just to those with verbal hallucinations.

scholarly journals Self-monitoring in the cerebral cortex: Neural responses to small pitch shifts in auditory feedback during speech production

NeuroImage ◽  
2018 ◽  
Vol 179 ◽  
pp. 326-336 ◽  
Author(s):  
Matthias K. Franken ◽  
Frank Eisner ◽  
Daniel J. Acheson ◽  
James M. McQueen ◽  
Peter Hagoort ◽  
...  
Keyword(s):  
Cerebral Cortex ◽  
Speech Production ◽  
Auditory Feedback ◽  
Neural Responses ◽  
Self Monitoring ◽  
Small Pitch

scholarly journals Differential causal involvement of human auditory and frontal cortices in vocal motor control

2020 ◽  
Author(s):  
Araceli Ramirez Cardenas ◽  
Roozbeh Behroozmand ◽  
Zsuzsanna Kocsis ◽  
Phillip E Gander ◽  
Kirill V Nourski ◽  
...  
Keyword(s):  
Motor Control ◽  
Speech Production ◽  
Auditory Feedback ◽  
Inferior Frontal Gyrus ◽  
Self Monitoring ◽  
Vocal Responses ◽  
Neurosurgical Patients ◽  
Motor Information ◽  
Auditory Cortices ◽  
Voice Fundamental Frequency

Speech motor control requires integration of sensory and motor information. Bidirectional communication between frontal and auditory cortices is crucial for speech production, self-monitoring and motor control. We used cortical direct electrical stimulation (DES) to functionally dissect audio-motor interactions underlying speech production and motor control. Eleven neurosurgical patients performed a visually cued vocal task in which a short auditory feedback perturbation was introduced during vocalization. We evaluated the effect of DES on vocal initiation, voice fundamental frequency (F0) and feedback-dependent motor control. DES of frontal sites modulated vocal onset latencies. Stimulation of different inferior frontal gyrus sites elicited either shortening or prolongation of vocal latencies. DES distinctly modulated voice F0 at different vocalization stages. Frontal and temporal areas played an important role in setting voice F0 in the first 250 ms of an utterance, while Heschls gyrus was involved later when auditory input is available for self-monitoring. Vocal responses to pitch-shifted auditory feedback were mostly reduced by DES of non-core auditory cortices. Overall, we demonstrate that vocal planning and initiation are driven by frontal cortices, while feedback-dependent control relies predominantly on non-core auditory cortices. Our findings represent direct evidence of the role played by different auditory and frontal regions in vocal motor control.

scholarly journals Consistency influences altered auditory feedback processing

2019 ◽  
Vol 72 (10) ◽  
pp. 2371-2379 ◽  
Author(s):  
Matthias K Franken ◽  
Daniel J Acheson ◽  
James M McQueen ◽  
Peter Hagoort ◽  
Frank Eisner
Keyword(s):  
Motor Control ◽  
Speech Production ◽  
Auditory Feedback ◽  
Speech Motor Control ◽  
Short Term ◽  
Feedback Processing ◽  
Motor Commands ◽  
Consistent Condition ◽  
Consistency Effect ◽  
Speech Motor

Previous research on the effect of perturbed auditory feedback in speech production has focused on two types of responses. In the short term, speakers generate compensatory motor commands in response to unexpected perturbations. In the longer term, speakers adapt feedforward motor programmes in response to feedback perturbations, to avoid future errors. The current study investigated the relation between these two types of responses to altered auditory feedback. Specifically, it was hypothesised that consistency in previous feedback perturbations would influence whether speakers adapt their feedforward motor programmes. In an altered auditory feedback paradigm, formant perturbations were applied either across all trials (the consistent condition) or only to some trials, whereas the others remained unperturbed (the inconsistent condition). The results showed that speakers’ responses were affected by feedback consistency, with stronger speech changes in the consistent condition compared with the inconsistent condition. Current models of speech-motor control can explain this consistency effect. However, the data also suggest that compensation and adaptation are distinct processes, which are not in line with all current models.

scholarly journals Neural correlates of abnormal auditory feedback processing during speech production in Alzheimer’s disease

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Kamalini G. Ranasinghe ◽  
Hardik Kothare ◽  
Naomi Kort ◽  
Leighton B. Hinkley ◽  
Alexander J. Beagle ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Speech Production ◽  
Auditory Feedback ◽  
Neural Correlates ◽  
Feedback Processing

scholarly journals Conflict monitoring in speech processing: An fMRI study of error detection in speech production and perception

NeuroImage ◽  
2016 ◽  
Vol 126 ◽  
pp. 96-105 ◽  
Author(s):  
Hanna S. Gauvin ◽  
Wouter De Baene ◽  
Marcel Brass ◽  
Robert J. Hartsuiker
Keyword(s):  
Speech Production ◽  
Error Detection ◽  
Speech Processing ◽  
Conflict Monitoring ◽  
Fmri Study

Visual and auditory feedback to improve touchscreen usability in turbulence

2017 ◽  
Vol 61 (1) ◽  
pp. 89-93
Author(s):  
Yuzhi Wan ◽  
Julie C. Prinet ◽  
Nadine Sarter
Keyword(s):  
Error Detection ◽  
Auditory Feedback ◽  
Completion Time ◽  
Text Entry ◽  
Mobile Environments ◽  
Military Aircraft ◽  
Flight Decks ◽  
Performance Effects ◽  
Flight Deck ◽  
Completion Times

Touchscreens are being introduced to various mobile environments that are, at times, affected by vibrations and turbulence, such as modern car cockpits or flight decks of commercial and military aircraft. To assess and enhance the usability of touchscreens in these domains, this experiment examined the performance effects of turbulence on two flight-related tasks and the effectiveness of visual and auditory feedback for supporting error detection, fast completion times and multitasking. Nineteen pilots performed a flight plan entry and a checklist task in calm and turbulent conditions during manual flight and on autopilot. Results show that unaided performance suffers greatly in turbulence, both in terms of the number of errors and completion time. However, visual and auditory feedback both helped reduce these performance costs by improving error detection and multitasking. Participants preferred auditory feedback for text entry during manual flight and in turbulence. The findings from this study can inform the design and evaluation of touch screens for mobile environments, such as the flight deck, ambulances and surveillance operations.

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