Jonathan Berger
41 papers 102 citations h-index 3 1994–2025
Audio Transformers
Over the past two decades, CNN architectures have produced compelling models of sound perception and cognition, learning hierarchical organizations of features. Analogous to successes in computer...
The Role of Vocal Persona in Natural and Synthesized Speech
The inclusion of voice persona in synthesized voice can be significant in a broad range of human-computer-interaction (HCI) applications, including augmentative and assistive communication (AAC),...
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. The immediate utility of this method lies in...
One-Shot Acoustic Matching Of Audio Signals -- Learning to Hear Music In Any Room/ Concert Hall
The acoustic space in which a sound is created and heard plays an essential role in how that sound is perceived by affording a unique sense of \textit{presence}. Every sound we hear results from...
Enhancing Audio Perception of Music By AI Picked Room Acoustics
Every sound that we hear is the result of successive convolutional operations (e.g. room acoustics, microphone characteristics, resonant properties of the instrument itself, not to mention...
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...
Learning to Model Aspects of Hearing Perception Using Neural Loss Functions
We present a framework to model the perceived quality of audio signals by combining convolutional architectures, with ideas from classical signal processing, and describe an approach to enhancing...