scholarly journals Auditory recognition without identification

2007 ◽  
Vol 35 (8) ◽  
pp. 1869-1877 ◽  
Author(s):  
Anne M. Cleary ◽  
Moriah M. Winfield ◽  
Bogdan Kostic
Keyword(s):  
Auditory Recognition ◽  
Recognition Without Identification

A Whiff of Familiarity: Odor Recognition without Identification

2009 ◽  
Author(s):  
Kristen E. Konkel ◽  
Jason S. Nomi ◽  
Anne M. Cleary
Keyword(s):  
Odor Recognition ◽  
Recognition Without Identification

Influences of postconceptional age and postnatal experience on the development of auditory recognition memory in the newborn infant

2002 ◽  
Vol 41 (3) ◽  
pp. 216-225 ◽  
Author(s):  
Raye-Ann deRegnier ◽  
Sandi Wewerka ◽  
Michael K. Georgieff ◽  
Frank Mattia ◽  
Charles A. Nelson
Keyword(s):  
Recognition Memory ◽  
Newborn Infant ◽  
Auditory Recognition ◽  
Postconceptional Age

Age of acquisition effects in recognition without identification tasks.

2021 ◽  
Author(s):  
Jon Catling ◽  
Carly Pymont ◽  
Robert Johnston ◽  
Mahmoud Medhat Elsherif ◽  
Rebecca Clark ◽  
...  
Keyword(s):  
Neural Network ◽  
Age Of Acquisition ◽  
Study Phase ◽  
Semantic Representations ◽  
Pictorial Stimuli ◽  
Gradual Development ◽  
Recognition Without Identification

The Age of Acquisition (AoA) effect results in early-acquired words being processed more quickly and accurately than later-acquired words. This effect is argued to result from a gradual development of semantic representations and a changing neural network throughout development (Chang et al., 2019). Some forms of the Recognition Without Identification (RWI) effects have been observed at a perceptual level. The present study used the RWI paradigm to examine whether the AoA effect is located at the perceptual loci. A total of 174 participants were presented a list of pictures (Experiment 1) or words (Experiment 2) followed by a list of mixed early- and late-acquired picture or word fragments that participants had to identify; half of which corresponded to studied words and half of which to unstudied words. Irrespective of whether the item was identified, participants then rated the likelihood that the item appeared in the study phase. In both experiments, results showed that studied items were recognised more accurately than unstudied items, even when they could not be identified and late-acquired items were recognised more than early-acquired items, even when they were not identified. Finally, RWI interacted with the AoA effect only in pictorial stimuli, indicating that the RWI and AoA effects are located at the perceptual level.

Coal gangue recognition using multichannel auditory spectrogram of hydraulic support sound in convolutional neural network

2021 ◽  
Author(s):  
xu chen ◽  
Shibo Wang ◽  
Houguang Liu ◽  
Jianhua Yang ◽  
Songyong Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Spectral Characteristics ◽  
Coal Gangue ◽  
Hydraulic Support ◽  
Practical Applications ◽  
Network Training ◽  
Auditory Recognition ◽  
Auditory Signals ◽  
Fully Connected

Abstract Many data-driven coal gangue recognition (CGR) methods based on the vibration or sound of collapsed coal and gangue have been proposed to achieve automatic CGR, which is important for realizing intelligent top-coal caving. However, the strong background noise and complex environment in underground coal mines render this task challenging in practical applications. Inspired by the fact that workers distinguish coal and gangue from underground noise by listening to the hydraulic support sound, we propose an auditory model based CGR method that simulates human auditory recognition by combining an auditory spectrogram with a convolutional neural network (CNN). First, we adjust the characteristic frequency (CF) distribution of the auditory peripheral model (APM) based on the spectral characteristics of collapsed sound signals from coal and gangue and then process the sound signals using the adjusted APM to obtain inferior colliculus auditory signals with multiple CFs. Subsequently, the auditory signals of all CFs are converted into gray images separately and then concatenated into a multichannel auditory spectrum along the channel dimension. Finally, we input the multichannel auditory spectrum as a feature map to the two-dimensional CNN, whose convolutional layers are used to automatically extract features, and the fully connected layer and softmax layer are used to flatten features and predict the recognition result, respectively. The CNN is optimized for the CGR based on a comparison study of four typical types of CNN structures with different network training hyperparameters. The experimental results show that this method affords an accurate CGR with a recognition accuracy of 99.5%. Moreover, this method offers excellent noise immunity compared with typically used CGR methods under various noisy conditions.

Auditory perception of Mexican children with profound bilateral hearing loss receiving auditory verbal therapy

2020 ◽  
pp. 026565902096996
Author(s):  
Damaris F Estrella-Castillo ◽  
Héctor Rubio-Zapata ◽  
Lizzette Gómez-de-Regil
Keyword(s):  
Hearing Loss ◽  
Hearing Aids ◽  
Oral Language ◽  
Auditory Perception ◽  
Extended Family ◽  
Developed Countries ◽  
Profound Hearing Loss ◽  
Bilateral Hearing Loss ◽  
Auditory Recognition ◽  
Auditory Verbal Therapy

Profound hearing loss can have serious and irreversible consequences for oral language development in children, affecting spoken and written language acquisition. Auditory-verbal therapy has been widely applied to children with hearing loss with promising results, mainly in developed countries where cochlear implants are available. An evaluation was done of auditory perception in 25 children 5 to 8 years of age, with profound hearing loss, users of 4- or 5-channel hearing aids, and enrolled in a personalized auditory-verbal therapy program. Regarding initial auditory perception skills, children performed better on the Noises and Sounds block than on the Language block. By subscales, top performance was observed for auditory analysis (Noises and Sounds) and auditory recognition (Language). A series of t-tests showed that significant improvement after Auditory-verbal therapy occurred in global scores for Noises and Sounds and for Language blocks, regardless of sex, urban or rural community origin, nuclear or extended family. The study provides evidence of deficiencies in auditory in children with profound bilateral hearing loss and how this might improve after receiving Auditory-verbal therapy. Nevertheless, the descriptive study design prevents conclusions regarding the effectiveness of the therapy. Subsequent research must take into account intrinsic and environmental factors that might play a mediating role in the benefits of Auditory-verbal therapy for auditory perception.

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