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Found 5 papers, 0 papers with code
One-Shot Acoustic Matching Of Audio Signals -- Learning to Hear Music In Any Room/ Concert Hall
Typically, researchers use an excitation such as a pistol shot or balloon pop as an impulse signal with which an auralization can be created.
Acoustically-Driven Phoneme Removal That Preserves Vocal Affect Cues
In this paper, we propose a method for removing linguistic information from speech for the purpose of isolating paralinguistic indicators of affect.
Enhancing Audio Perception of Music By AI Picked Room Acoustics
A convolutional architecture is first trained to take in an audio sample and mimic the ratings of experts with about 78 % accuracy for various instrument families and notes for perceptual qualities.
Audio Transformers:Transformer Architectures For Large Scale Audio Understanding. Adieu Convolutions
In addition, we also show how multi-rate signal processing ideas inspired from wavelets, can be applied to the Transformer embeddings to improve the results.
Ranked #8 on
Audio Classification
on FSD50K
Neuralogram: A Deep Neural Network Based Representation for Audio Signals
We propose the Neuralogram -- a deep neural network based representation for understanding audio signals which, as the name suggests, transforms an audio signal to a dense, compact representation based upon embeddings learned via a neural architecture.
