Kazuyoshi Yoshii

发表

Semi-Supervised Neural Chord Estimation Based on a Variational Autoencoder With Latent Chord Labels and Features

Yiming Wu, Tristan Carsault, Eita Nakamura, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Joint Singing Pitch Estimation and Voice Separation Based on a Neural Harmonic Structure Renderer

Ryo Nishikimi, Masataka Goto, Kazuyoshi Yoshii, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Bayesian Melody Harmonization Based on a Tree-Structured Generative Model of Chord Sequences and Melodies

Eita Nakamura, Kazuyoshi Yoshii, Hiroaki Tsushima, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Bayesian Singing Transcription Based on a Hierarchical Generative Model of Keys, Musical Notes, and F0 Trajectories

Ryo Nishikimi, Masataka Goto, Eita Nakamura, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Semi-Supervised Multichannel Speech Enhancement With a Deep Speech Prior

Tatsuya Kawahara, Yoshiaki Bando, Kazuyoshi Yoshii, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model

Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, 2019, ISMIR.

Multi-Step Chord Sequence Prediction Based On Aggregated Multi-Scale Encoder-Decoder Networks

Eita Nakamura, Tristan Carsault, Kazuyoshi Yoshii, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training pdf

Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii, 2020, ArXiv.

End-to-end Music-mixed Speech Recognition

Tatsuya Kawahara, Kazuyoshi Yoshii, Masato Mimura, 2020, 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Fast Multichannel Correlated Tensor Factorization for Blind Source Separation

Yoshiaki Bando, Kazuyoshi Yoshii, Kouhei Sekiguchi, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords pdf

Yiming Wu, Tristan Carsault, Eita Nakamura, 2020, ArXiv.

2.Music and Statistical Symbolic Processing

Kazuyoshi Yoshii, Kazuyoshi Yoshii, 2017 .

Semi-supervised Multichannel Speech Separation Based on a Phone- and Speaker-Aware Deep Generative Model of Speech Spectrograms

Tatsuya Kawahara, Yoshiaki Bando, Kazuyoshi Yoshii, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Flow-Based Independent Vector Analysis for Blind Source Separation

Yoshiaki Bando, Kazuyoshi Yoshii, Kouhei Sekiguchi, 2020, IEEE Signal Processing Letters.

A Flow-Based Deep Latent Variable Model for Speech Spectrogram Modeling and Enhancement

Kazuyoshi Yoshii, Kouhei Sekiguchi, Aditya Arie Nugraha, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Automatic Chord Estimation Based on a Frame-wise Convolutional Recurrent Neural Network with Non-Aligned Annotations

Yiming Wu, Tristan Carsault, Kazuyoshi Yoshii, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

End-To-End Melody Note Transcription Based on a Beat-Synchronous Attention Mechanism

Ryo Nishikimi, Masataka Goto, Eita Nakamura, 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Blending Acoustic and Language Model Predictions for Automatic Music Transcription

Adrien Ycart, Emmanouil Benetos, Kazuyoshi Yoshii, 2019, ISMIR.

MirrorNet: A Deep Bayesian Approach to Reflective 2D Pose Estimation from Human Images pdf

Satoru Fukayama, Masataka Goto, Kazuyoshi Yoshii, 2020, ArXiv.