21 citations · 81 across the 30 of their papers we have counts for
30 papers
Description and Discussion on DCASE 2026 Challenge Task 4: Spatial Semantic Segmentation of Sound Scenes
Binh Thien Nguyen, Masahiro Yasuda, Noboru Harada +8
This paper presents an overview of the Detection and Classification of Acoustic Scenes and Events (DCASE) 2026 Challenge Task 4, Spatial Semantic Segmentation of Sound Scenes (S5).…
DiBA: Diagonal and Binary Matrix Approximation for Neural Network Weight Compression
Nobutaka Ono
In this paper, we propose DiBA (Diagonal and Binary Matrix Approximation), a compact matrix factorization for neural network weight compression. Many components of modern networks,…
Rethinking Masking Strategies for Masked Prediction-based Audio Self-supervised Learning
Daisuke Niizumi, Daiki Takeuchi, Masahiro Yasuda +3
Since the introduction of Masked Autoencoders, various improvements to masking techniques have been explored. In this paper, we rethink masking strategies for audio representation…
What Do Neurons Listen To? A Neuron-level Dissection of a General-purpose Audio Model
Takao Kawamura, Daisuke Niizumi, Nobutaka Ono
In this paper, we analyze the internal representations of a general-purpose audio self-supervised learning (SSL) model from a neuron-level perspective. Despite their strong empiric…
Fast Swap-Based Element Selection for Multiplication-Free Dimension Reduction
Nobutaka Ono
In this paper, we propose a fast algorithm for element selection, a multiplication-free form of dimension reduction that produces a dimension-reduced vector by simply selecting a s…
On the Invariance of Cross-Correlation Peak Positions Under Monotonic Signal Transformations, with Application to Fast Time Difference Estimation
Natsuki Ueno, Ryotaro Sato, Nobutaka Ono
We present a theorem concerning the invariance of cross-correlation peak positions. This theoretical result provides the foundation for a new method for time difference estimation…
Incremental Averaging Method to Improve Graph-Based Time-Difference-of-Arrival Estimation
Klaus Brümann, Kouei Yamaoka, Nobutaka Ono +1
Estimating the position of a speech source based on time-differences-of-arrival (TDOAs) is often adversely affected by background noise and reverberation. A popular method to estim…
Description and Discussion on DCASE 2025 Challenge Task 4: Spatial Semantic Segmentation of Sound Scenes
Masahiro Yasuda, Binh Thien Nguyen, Noboru Harada +10
Spatial Semantic Segmentation of Sound Scenes (S5) aims to enhance technologies for sound event detection and separation from multi-channel input signals that mix multiple sound ev…
Mel-Spectrogram Inversion via Alternating Direction Method of Multipliers
Yoshiki Masuyama, Natsuki Ueno, Nobutaka Ono
Signal reconstruction from its mel-spectrogram is known as mel-spectrogram inversion and has many applications, including speech and foley sound synthesis. In this paper, we propos…
Guided Masked Self-Distillation Modeling for Distributed Multimedia Sensor Event Analysis
Masahiro Yasuda, Noboru Harada, Yasunori Ohishi +3
Observations with distributed sensors are essential in analyzing a series of human and machine activities (referred to as 'events' in this paper) in complex and extensive real-worl…
Security Evaluation of Compressible and Learnable Image Encryption Against Jigsaw Puzzle Solver Attacks
Tatsuya Chuman, Nobutaka Ono, Hitoshi Kiya
Several learnable image encryption schemes have been developed for privacy-preserving image classification. This paper focuses on the security block-based image encryption methods…
Signal Reconstruction from Mel-spectrogram Based on Bi-level Consistency of Full-band Magnitude and Phase
Yoshiki Masuyama, Natsuki Ueno, Nobutaka Ono
We propose an optimization-based method for reconstructing a time-domain signal from a low-dimensional spectral representation such as a mel-spectrogram. Phase reconstruction has b…
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation
Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang +5
Neural speech separation has made remarkable progress and its integration with automatic speech recognition (ASR) is an important direction towards realizing multi-speaker ASR. Thi…
Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge
Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama +3
This paper describes our submission to the Second Clarity Enhancement Challenge (CEC2), which consists of target speech enhancement for hearing-aid (HA) devices in noisy-reverberan…
End-to-End Integration of Speech Recognition, Dereverberation, Beamforming, and Self-Supervised Learning Representation
Yoshiki Masuyama, Xuankai Chang, Samuele Cornell +2
Self-supervised learning representation (SSLR) has demonstrated its significant effectiveness in automatic speech recognition (ASR), mainly with clean speech. Recent work pointed o…
Inverse-free Online Independent Vector Analysis with Flexible Iterative Source Steering
Taishi Nakashima, Nobutaka Ono
In this paper, we propose a new online independent vector analysis (IVA) algorithm for real-time blind source separation (BSS). In many BSS algorithms, the iterative projection (IP…
Joint Analysis of Acoustic Scenes and Sound Events with Weakly labeled Data
Shunsuke Tsubaki, Keisuke Imoto, Nobutaka Ono
Considering that acoustic scenes and sound events are closely related to each other, in some previous papers, a joint analysis of acoustic scenes and sound events utilizing multita…
Joint Optimization of Sampling Rate Offsets Based on Entire Signal Relationship Among Distributed Microphones
Yoshiki Masuyama, Kouei Yamaoka, Nobutaka Ono
In this paper, we propose to simultaneously estimate all the sampling rate offsets (SROs) of multiple devices. In a distributed microphone array, the SRO is inevitable, which deter…
Estimation of Consistent Time Delays in Subsample via Auxiliary-Function-Based Iterative Updates
Kouei Yamaoka, Yukoh Wakabayashi, Nobutaka Ono
In this paper, we propose a new algorithm for the estimation of multiple time delays (TDs). Since a TD is a fundamental spatial cue for sensor array signal processing techniques, m…
Joint Dereverberation and Separation with Iterative Source Steering
Taishi Nakashima, Robin Scheibler, Masahito Togami +1
We propose a new algorithm for joint dereverberation and blind source separation (DR-BSS). Our work builds upon the IRLMA-T framework that applies a unified filter combining dereve…
Difficulty in estimating visual information from randomly sampled images
Masaki Kitayama, Hitoshi Kiya
In this paper, we evaluate dimensionality reduction methods in terms of difficulty in estimating visual information on original images from dimensionally reduced ones. Recently, di…
MM Algorithms for Joint Independent Subspace Analysis with Application to Blind Single and Multi-Source Extraction
Robin Scheibler, Nobutaka Ono
In this work, we propose efficient algorithms for joint independent subspace analysis (JISA), an extension of independent component analysis that deals with parallel mixtures, wher…
Fast Independent Vector Extraction by Iterative SINR Maximization
Robin Scheibler, Nobutaka Ono
We propose fast independent vector extraction (FIVE), a new algorithm that blindly extracts a single non-Gaussian source from a Gaussian background. The algorithm iteratively compu…
Independent Vector Analysis with more Microphones than Sources
Robin Scheibler, Nobutaka Ono
We extend frequency-domain blind source separation based on independent vector analysis to the case where there are more microphones than sources. The signal is modelled as non-Gau…