Estimates of Tuning of Auditory Filter Using Simultaneous and Forward Notched-noise Masking

2007 ◽  
pp. 19-26 ◽  
Author(s):  
Masashi Unoki ◽  
Ryota Miyauchi ◽  
Chin-Tuan Tan
Keyword(s):  
Noise Masking ◽  
Auditory Filter

scholarly journals Estimate of auditory filter shape using notched-noise masking for various signal frequencies

2006 ◽  
Vol 27 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Masashi Unoki ◽  
Kazuhito Ito ◽  
Yuichi Ishimoto ◽  
Chin-Tuan Tan
Keyword(s):  
Noise Masking ◽  
Auditory Filter

Auditory filter nonlinearity across frequency using simultaneous notched-noise masking

2006 ◽  
Vol 119 (1) ◽  
pp. 454-462 ◽  
Author(s):  
Richard J. Baker ◽  
Stuart Rosen
Keyword(s):  
Noise Masking ◽  
Auditory Filter

Binaural notched-noise masking and auditory-filter shape

2013 ◽  
Vol 133 (4) ◽  
pp. 2262-2271 ◽  
Author(s):  
Marc Nitschmann ◽  
Jesko L. Verhey
Keyword(s):  
Noise Masking ◽  
Auditory Filter

Effect of Consonant-Vowel Ratio Modification on Amplitude Envelope Cues for Consonant Recognition

1991 ◽  
Vol 34 (2) ◽  
pp. 415-426 ◽  
Author(s):  
Richard L. Freyman ◽  
G. Patrick Nerbonne ◽  
Heather A. Cote
Keyword(s):  
White Noise ◽  
Intensity Ratio ◽  
Recognition Performance ◽  
Amplitude Envelope ◽  
Signal To Noise ◽  
Noise Masking ◽  
Spectral Cues ◽  
Consonant Recognition ◽  
Nonlinear Amplification ◽  
Speech Envelope

This investigation examined the degree to which modification of the consonant-vowel (C-V) intensity ratio affected consonant recognition under conditions in which listeners were forced to rely more heavily on waveform envelope cues than on spectral cues. The stimuli were 22 vowel-consonant-vowel utterances, which had been mixed at six different signal-to-noise ratios with white noise that had been modulated by the speech waveform envelope. The resulting waveforms preserved the gross speech envelope shape, but spectral cues were limited by the white-noise masking. In a second stimulus set, the consonant portion of each utterance was amplified by 10 dB. Sixteen subjects with normal hearing listened to the unmodified stimuli, and 16 listened to the amplified-consonant stimuli. Recognition performance was reduced in the amplified-consonant condition for some consonants, presumably because waveform envelope cues had been distorted. However, for other consonants, especially the voiced stops, consonant amplification improved recognition. Patterns of errors were altered for several consonant groups, including some that showed only small changes in recognition scores. The results indicate that when spectral cues are compromised, nonlinear amplification can alter waveform envelope cues for consonant recognition.

scholarly journals An analytical method reduces noise bias in motor adaptation analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daniel H. Blustein ◽  
Ahmed W. Shehata ◽  
Erin S. Kuylenstierna ◽  
Kevin B. Englehart ◽  
Jonathon W. Sensinger
Keyword(s):  
Motor Planning ◽  
Motor Adaptation ◽  
Motor Command ◽  
Systematic Bias ◽  
Sources Of Information ◽  
Noise Masking ◽  
Stochastic Signal ◽  
Movement Data ◽  
Motor Error ◽  
Stochastic Signal Processing

AbstractWhen a person makes a movement, a motor error is typically observed that then drives motor planning corrections on subsequent movements. This error correction, quantified as a trial-by-trial adaptation rate, provides insight into how the nervous system is operating, particularly regarding how much confidence a person places in different sources of information such as sensory feedback or motor command reproducibility. Traditional analysis has required carefully controlled laboratory conditions such as the application of perturbations or error clamping, limiting the usefulness of motor analysis in clinical and everyday environments. Here we focus on error adaptation during unperturbed and naturalistic movements. With increasing motor noise, we show that the conventional estimation of trial-by-trial adaptation increases, a counterintuitive finding that is the consequence of systematic bias in the estimate due to noise masking the learner’s intention. We present an analytic solution relying on stochastic signal processing to reduce this effect of noise, producing an estimate of motor adaptation with reduced bias. The result is an improved estimate of trial-by-trial adaptation in a human learner compared to conventional methods. We demonstrate the effectiveness of the new method in analyzing simulated and empirical movement data under different noise conditions.

Effect of Contralateral White Noise Masking on the Mismatch Negativity

1995 ◽  
Vol 24 (3) ◽  
pp. 165-173 ◽  
Author(s):  
Sirkku K. Salo ◽  
A. Heikki Lang ◽  
Altti J. Salmivalli
Keyword(s):  
White Noise ◽  
Mismatch Negativity ◽  
Noise Masking
Sign in / Sign up

Export Citation Format

Share Document