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Psychoacoustic Models for Perceptual Audio Coding—A ...
https://www.mdpi.com/2076-3417/9/14/2854/htm#:~:text=A%20psychoacoustic%20%28perceptual%29%20model%20is%20used%20to%20analyze,threshold%29%20as%20a%20function%20of%20frequency%20and%20time.
Fundamentals of Perceptual Audio Coding
https://ocw.mit.edu/courses/health-sciences-and-technology/hst-723j-neural-coding-and-perception-of-sound-spring-2005/labs/fmntlprcptlaudio.pdf
• Perceptual Audio Encoding is the encoding of audio signals, incorporating psychoacoustic knowledge of the auditory system, in order to reduce the amount of bits necessary to faithfully reproduce the signal. • MPEG-1 Layer III (aka mp3) • MPEG-2 Advanced Audio Coding (AAC)
Perceptual Audio Loss
http://johnvinyard.github.io/zounds/synthesis/neural-networks/pytorch/2018/06/07/perceptual-audio-loss.html
The PerceptualLoss is very rudimentary, but hopefully captures some characteristics of early stages in the human auditory processing pipeline, namely: an FIR filter bank, whose filters’ center frequencies lie along the Bark scale. half-wave rectification (AKA ReLU) a logarithmic, or decibel -like amplitude scaling.
ATC LABS | PERCEPTUAL-AUDIO
https://www.atc-labs.com/perceptual-audio.html
The suite of perceptual audio coding technologies developed by ATC Labs is embedded in its audio codecs products, TeslaPro and ACC, codec technology products, ABET and ISR, and can also be utilized to enhance the quality of a variety of standard based and proprietary audio codecs. Licensing/Support :
Validating a real-time perceptual model predicting ...
https://pubmed.ncbi.nlm.nih.gov/30075674/
This work concentrates on validating a real-time perceptual model predicting distraction caused by audio-on-audio interference. The real-time model was recently developed on the basis of another successfully validated, perceptual distraction model, which is not able to calculate predictions in real time.
A Perceptual Model for Sinusoidal Audio Coding Based …
https://asp-eurasipjournals.springeropen.com/articles/10.1155/ASP.2005.1292
In this paper, we present a new perceptual model that predicts masked thresholds for sinusoidal distortions. The model relies on signal detection theory and incorporates more recent insights about spectral and temporal integration in auditory masking. As a consequence, the model is able to predict the distortion detectability.
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