Sound Source Separation Mechanisms of Different Deep Networks Explained from the Perspective of Auditory Perception

Speaker separation in realistic noise environments, with applications to a cognitively-controlled hearing aid

(2021) Bengt J. Borgström et al.   NEURAL NETWORKS

Auditory-like simultaneous separation mechanisms spontaneously learned by a deep source separation network

(2021) Han Li et al.   APPLIED ACOUSTICS

Improving Singing Voice Separation Using Curriculum Learning on Recurrent Neural Networks

(2020) Seungtae Kang et al.   Applied Sciences-Basel

Machine Learning Inspired Sound-Based Amateur Drone Detection for Public Safety Applications

(2019) Muhammad Zohaib Anwar et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

(2019) Yi Luo et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy

(2018) Alexander J.E. Kell et al.   NEURON

Supervised Speech Separation Based on Deep Learning: An Overview

(2018) DeLiang Wang et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Looking to listen at the cocktail party

(2018) Ariel Ephrat et al.   ACM TRANSACTIONS ON GRAPHICS

Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks

(2018) Sharath Adavanne et al.   IEEE Journal of Selected Topics in Signal Processing

Investigation of Speech Separation as a Front-End for Noise Robust Speech Recognition

(2014) Arun Narayanan et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Pitch, harmonicity and concurrent sound segregation: Psychoacoustical and neurophysiological findings

(2009) Christophe Micheyl et al.   HEARING RESEARCH