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06/17/2023
Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation
This paper describes an efficient unsupervised learning method for a neu...
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05/08/2023
Neural Steerer: Novel Steering Vector Synthesis with a Causal Neural Field over Frequency and Source Positions
Neural fields have successfully been used in many research fields for th...
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07/22/2022
DNN-Free Low-Latency Adaptive Speech Enhancement Based on Frame-Online Beamforming Powered by Block-Online FastMNMF
This paper describes a practical dual-process speech enhancement system ...
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07/15/2022
Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments
This paper describes the practical response- and performance-aware devel...
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07/15/2022
Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments
This paper describes noisy speech recognition for an augmented reality h...
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05/11/2022
Generalized Fast Multichannel Nonnegative Matrix Factorization Based on Gaussian Scale Mixtures for Blind Source Separation
This paper describes heavy-tailed extensions of a state-of-the-art versa...
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05/12/2021
Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms
This paper describes an automatic drum transcription (ADT) method that d...
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10/08/2020
Tatum-Level Drum Transcription Based on a Convolutional Recurrent Neural Network with Language Model-Based Regularized Training
This paper describes a neural drum transcription method that detects fro...
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09/30/2020
The MIDI Degradation Toolkit: Symbolic Music Augmentation and Correction
In this paper, we introduce the MIDI Degradation Toolkit (MDTK), contain...
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08/28/2020
Non-Local Musical Statistics as Guides for Audio-to-Score Piano Transcription
We present an automatic piano transcription system that converts polypho...
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05/14/2020
Semi-supervised Neural Chord Estimation Based on a Variational Autoencoder with Discrete Labels and Continuous Textures of Chords
This paper describes a statistically-principled semi-supervised method o...
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11/12/2019
Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network
This paper studies the prediction of chord progressions for jazz music b...
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08/29/2019
Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture Model
This paper presents an unsupervised method that trains neural source sep...
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08/18/2019
Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions
Most work on models for music transcription has focused on describing lo...
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04/23/2019
Statistical Learning and Estimation of Piano Fingering
Automatic estimation of piano fingering is important for computationally...
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03/22/2019
Unsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition
This paper describes multichannel speech enhancement for improving autom...
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03/08/2019
A Deep Generative Model of Speech Complex Spectrograms
This paper proposes an approach to the joint modeling of the short-time ...
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03/08/2019
Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices
This paper describes a versatile method that accelerates multichannel so...
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08/15/2018
Statistical Piano Reduction Controlling Performance Difficulty
We present a statistical-modelling method for piano reduction, i.e. conv...
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10/31/2017
Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization
This paper presents a statistical method of single-channel speech enhanc...
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08/07/2017
Generative Statistical Models with Self-Emergent Grammar of Chord Sequences
Generative statistical models of chord sequences play crucial roles in m...
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01/29/2017