Prediction of vocal roughness using measures of temporal envelope fluctuation obtained from an auditory model

2021 ◽  
Vol 150 (4) ◽  
pp. A191-A191
Author(s):  
Yeonggwang Park ◽  
Erol J. Ozmeral ◽  
Supraja Anand ◽  
Rahul Shrivastav ◽  
David A. Eddins
2012 ◽  
Vol 43 (01) ◽  
Author(s):  
L Timm ◽  
D Agrawal ◽  
M Wittfoth ◽  
R Dengler

2002 ◽  
Vol 87 (4) ◽  
pp. 1723-1737 ◽  
Author(s):  
Srikantan S. Nagarajan ◽  
Steven W. Cheung ◽  
Purvis Bedenbaugh ◽  
Ralph E. Beitel ◽  
Christoph E. Schreiner ◽  
...  

Cortical sensitivity in representations of behaviorally relevant complex input signals was examined in recordings from primary auditory cortical neurons (AI) in adult, barbiturate-anesthetized common marmoset monkeys ( Callithrix jacchus). We studied the robustness of distributed responses to natural and degraded forms of twitter calls, social contact vocalizations comprising several quasi-periodic phrases of frequency and AM. We recorded neuronal responses to a monkey's own twitter call (MOC), degraded forms of their twitter call, and sinusoidal amplitude modulated (SAM) tones with modulation rates similar to those of twitter calls. In spectral envelope degradation, calls with narrowband channels of varying bandwidths had the same temporal envelope as a natural call. However, the carrier phase was randomized within each narrowband channel. In temporal envelope degradation, the temporal envelope within narrowband channels was filtered while the carrier frequencies and phases remained unchanged. In a third form of degradation, noise was added to the natural calls. Spatiotemporal discharge patterns in AI both within and across frequency bands encoded spectrotemporal acoustic features in the call although the encoded response is an abstract version of the call. The average temporal response pattern in AI, however, was significantly correlated with the average temporal envelope for each phrase of a call. Response entrainment to MOC was significantly correlated with entrainment to SAM stimuli at comparable modulation frequencies. Sensitivity of the response patterns to MOC was substantially greater for temporal envelope than for spectral envelope degradations. The distributed responses in AI were robust to additive continuous noise at signal-to-noise ratios ≥10 dB. Neurophysiological data reflecting response sensitivity in AI to these forms of degradation closely parallel human psychophysical results on the intelligibility of degraded speech in quiet and noisy conditions.


2014 ◽  
Vol 62 (1) ◽  
pp. 89-99 ◽  
Author(s):  
Carla D. Cash ◽  
Sarah E. Allen ◽  
Amy L. Simmons ◽  
Robert A. Duke

This study was designed to investigate the extent to which the presentation of an auditory model prior to learning a novel melody affects performance during active practice and the overnight consolidation of procedural memory. During evening training sessions, 32 nonpianist musicians practiced a 13-note keyboard melody with their left (nondominant) hand in twelve 30-s practice intervals separated by 30-s rest intervals. Participants were instructed to play the sequence “as quickly, accurately, and evenly as possible.” Approximately half the participants, prior to the first practice interval, listened to 10 repetitions of the target melody played at 552 tones per minute (half note = 138). All participants were tested on the target melody the following morning, approximately 12 hr after training, in three 30-s blocks separated by 30-s rest intervals. Performance was measured in terms of the mean number of correct key presses per 30-s block (CKP/B). Consistent with previous research, participants made considerable improvements in CKP/B during the evening training sessions and between the end of training and the morning test sessions. Learners who listened to the model made significantly larger gains in performance during training and between the end of training and test than did those who did not hear the model.


1993 ◽  
Vol 1 (1) ◽  
pp. 3-28 ◽  
Author(s):  
John J. Benedetto ◽  
Anthony Teolis

2012 ◽  
Vol 132 (2) ◽  
pp. 1113-1119 ◽  
Author(s):  
Jong Ho Won ◽  
Christian Lorenzi ◽  
Kaibao Nie ◽  
Xing Li ◽  
Elyse M. Jameyson ◽  
...  

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