output
20162026
most citedMulti-Speaker DOA Estimation Using Deep Convolutional Networks Trained with Noise Signals

328 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.SD2026

Dense-Sparse Dynamic Time Warping for Customizing Piano Concerto Accompaniments

TJ Tsai, Kavi Dey, Yigitcan Ozer +1

In this study, we explore how pianists can customize Music Minus One (MMO) concerto accompaniments to match their playing style. Bypassing the need for a symbolic score, often not…

cs.SD2019

Bayesian Pitch Tracking Based on the Harmonic Model

Liming Shi, Jesper Kjaer Nielsen, Jesper Rindom Jensen +2

Fundamental frequency is one of the most important characteristics of speech and audio signals. Harmonic model-based fundamental frequency estimators offer a higher estimation accu…

cs.SD2019★ 67 cited

Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters

Wolfgang Mack, Emanuël A. P. Habets

Signal extraction from a single-channel mixture with additional undesired signals is most commonly performed using time-frequency (TF) masks. Typically, the mask is estimated with…

cs.SD2017★ 288 cited

Broadband DOA estimation using Convolutional neural networks trained with noise signals

Soumitro Chakrabarty, Emanuël. A. P. Habets

A convolution neural network (CNN) based classification method for broadband DOA estimation is proposed, where the phase component of the short-time Fourier transform coefficients…

cs.SD2016★ 11 cited

Near-field signal acquisition for smartglasses using two acoustic vector-sensors

Dovid Y. Levin, Emanuël A. P. Habets, Sharon Gannot

Smartglasses, in addition to their visual-output capabilities, often contain acoustic sensors for receiving the user's voice. However, operation in noisy environments may lead to s…