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06/19/2023
Algorithms of Sampling-Frequency-Independent Layers for Non-integer Strides
In this paper, we propose algorithms for handling non-integer strides in...
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06/01/2023
How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics
We examine the speech modeling potential of generative spoken language m...
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11/29/2022
jaCappella Corpus: A Japanese a Cappella Vocal Ensemble Corpus
We construct a corpus of Japanese a cappella vocal ensembles (jaCappella...
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07/22/2022
Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning
We propose a method of head-related transfer function (HRTF) interpolati...
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07/22/2022
Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation
A sound field estimation method based on a physics-informed convolutiona...
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03/24/2022
SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling
We present a self-supervised speech restoration method without paired sp...
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02/01/2022
Differentiable Digital Signal Processing Mixture Model for Synthesis Parameter Extraction from Mixture of Harmonic Sounds
A differentiable digital signal processing (DDSP) autoencoder is a music...
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09/10/2021
Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis
Rank-constrained spatial covariance matrix estimation (RCSCME) is a meth...
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09/02/2021
Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models
Independent deeply learned matrix analysis (IDLMA) is one of the state-o...
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09/01/2021
Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization
When we place microphones close to a sound source near other sources in ...
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06/10/2021
Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation
We address the determined audio source separation problem in the time-fr...
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06/07/2021
Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation
Independent deeply learned matrix analysis (IDLMA) is one of the state-o...
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05/10/2021
Sampling-Frequency-Independent Audio Source Separation Using Convolution Layer Based on Impulse Invariant Method
Audio source separation is often used as preprocessing of various applic...
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01/28/2020
Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform
We propose a time-domain audio source separation method using down-sampl...
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04/08/2014
