19 citations · 24 across the 4 of their papers we have counts for
5 papers
TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context
Nithin Rao Koluguri, Taejin Park, Boris Ginsburg
In this paper, we propose TitaNet, a novel neural network architecture for extracting speaker representations. We employ 1D depth-wise separable convolutions with Squeeze-and-Excit…
Robust Multi-channel Speech Recognition using Frequency Aligned Network
Taejin Park, Kenichi Kumatani, Minhua Wu +1
Conventional speech enhancement technique such as beamforming has known benefits for far-field speech recognition. Our own work in frequency-domain multi-channel acoustic modeling…
Time delay estimator for predetermined repeated signal robust to narrowband interference
TaeJin Park, Kyeong Ok Kang
In this paper, time delay estimation techniques robust to narrowband interference (NBI) are proposed. Owing to the deluge of wireless signal interference these days, narrowband int…
Multichannel audio signal source separation based on an Interchannel Loudness Vector Sum
Taejin Park, Taejin Lee
In this paper, a Blind Source Separation (BSS) algorithm for multichannel audio contents is proposed. Unlike common BSS algorithms targeting stereo audio contents or microphone arr…
Musical instrument sound classification with deep convolutional neural network using feature fusion approach
Taejin Park, Taejin Lee
A new musical instrument classification method using convolutional neural networks (CNNs) is presented in this paper. Unlike the traditional methods, we investigated a scheme for c…