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20202023
most citedEvolving Multi-Resolution Pooling CNN for Monaural Singing Voice Separation

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2023

Computational models of sound-quality metrics using method for calculating loudness with gammatone/gammachirp auditory filterbank

Takuto Isoyama, Shunsuke Kidani, Masashi Unoki

Sound-quality metrics (SQMs), such as sharpness, roughness, and fluctuation strength, are calculated using a standard method for calculating loudness (Zwicker method, ISO532B, 1975…

eess.AS2022

Blind estimation of room acoustic parameters from speech signals based on extended model of room impulse response

Lijun Wang, Suradej Duangpummet, Masashi Unoki

The speech transmission index (STI) and room acoustic parameters (RAPs), which are derived from a room impulse response (RIR), such as reverberation time and early decay time, are…

cs.CR2021

Improving Security in McAdams Coefficient-Based Speaker Anonymization by Watermarking Method

Candy Olivia Mawalim, Masashi Unoki

Speaker anonymization aims to suppress speaker individuality to protect privacy in speech while preserving the other aspects, such as speech content. One effective solution for ano…

cs.SD2021

Blind Estimation of Room Acoustic Parameters and Speech Transmission Index using MTF-based CNNs

Suradej Duangpummet, Jessada Karnjana, Waree Kongprawechnon +1

This paper proposes a blind estimation method based on the modulation transfer function and Schroeder model for estimating reverberation time in seven-octave bands. Therefore, the…

eess.AS2020★ 2 cited

Evolving Multi-Resolution Pooling CNN for Monaural Singing Voice Separation

Weitao Yuan, Bofei Dong, Shengbei Wang +2

Monaural Singing Voice Separation (MSVS) is a challenging task and has been studied for decades. Deep neural networks (DNNs) are the current state-of-the-art methods for MSVS. Howe…