17 citations · 22 across the 5 of their papers we have counts for
5 papers
Sampling-Frequency-Independent Universal Sound Separation
Tomohiko Nakamura, Kohei Yatabe
This paper proposes a universal sound separation (USS) method capable of handling untrained sampling frequencies (SFs). The USS aims at separating arbitrary sources of different ty…
How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics
Joonyong Park, Shinnosuke Takamichi, Tomohiko Nakamura +3
We examine the speech modeling potential of generative spoken language modeling (GSLM), which involves using learned symbols derived from data rather than phonemes for speech analy…
Head-Related Transfer Function Interpolation from Spatially Sparse Measurements Using Autoencoder with Source Position Conditioning
Yuki Ito, Tomohiko Nakamura, Shoichi Koyama +1
We propose a method of head-related transfer function (HRTF) interpolation from sparsely measured HRTFs using an autoencoder with source position conditioning. The proposed method…
Physics-informed convolutional neural network with bicubic spline interpolation for sound field estimation
Kazuhide Shigemi, Shoichi Koyama, Tomohiko Nakamura +1
A sound field estimation method based on a physics-informed convolutional neural network (PICNN) using spline interpolation is proposed. Most of the sound field estimation methods…
Outer-Product Hidden Markov Model and Polyphonic MIDI Score Following
Eita Nakamura, Tomohiko Nakamura, Yasuyuki Saito +2
We present a polyphonic MIDI score-following algorithm capable of following performances with arbitrary repeats and skips, based on a probabilistic model of musical performances. I…