137 citations · 249 across the 12 of their papers we have counts for
12 papers
An Efficient GPU-based Implementation for Noise Robust Sound Source Localization
Zirui Lin, Masayuki Takigahira, Naoya Terakado +6
Robot audition, encompassing Sound Source Localization (SSL), Sound Source Separation (SSS), and Automatic Speech Recognition (ASR), enables robots and smart devices to acquire aud…
Bird Vocalization Embedding Extraction Using Self-Supervised Disentangled Representation Learning
Runwu Shi, Katsutoshi Itoyama, Kazuhiro Nakadai
This paper addresses the extraction of the bird vocalization embedding from the whole song level using disentangled representation learning (DRL). Bird vocalization embeddings are…
UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster Scenarios
Ragib Amin Nihal, Benjamin Yen, Katsutoshi Itoyama +1
Unmanned aerial vehicles (UAVs) have revolutionized search and rescue (SAR) operations, but the lack of specialized human detection datasets for training machine learning models po…
Can all variations within the unified mask-based beamformer framework achieve identical peak extraction performance?
Atsuo Hiroe, Katsutoshi Itoyama, Kazuhiro Nakadai
This study investigates mask-based beamformers (BFs), which estimate filters for target sound extraction (TSE) using time-frequency masks. Although multiple mask-based BFs have bee…
SLAM-based Joint Calibration of Multiple Asynchronous Microphone Arrays and Sound Source Localization
Jiang Wang, Yuanzheng He, Daobilige Su +6
Robot audition systems with multiple microphone arrays have many applications in practice. However, accurate calibration of multiple microphone arrays remains challenging because t…
From Blurry to Brilliant Detection: YOLO-Based Aerial Object Detection with Super Resolution
Ragib Amin Nihal, Benjamin Yen, Takeshi Ashizawa +2
Aerial object detection presents challenges from small object sizes, high density clustering, and image quality degradation from distance and motion blur. These factors create an i…
Is the Ideal Ratio Mask Really the Best? -- Exploring the Best Extraction Performance and Optimal Mask of Mask-based Beamformers
Atsuo Hiroe, Katsutoshi Itoyama, Kazuhiro Nakadai
This study investigates mask-based beamformers (BFs), which estimate filters to extract target speech using time-frequency masks. Although several BF methods have been proposed, th…
Metric-based multimodal meta-learning for human movement identification via footstep recognition
Muhammad Shakeel, Katsutoshi Itoyama, Kenji Nishida +1
We describe a novel metric-based learning approach that introduces a multimodal framework and uses deep audio and geophone encoders in siamese configuration to design an adaptable…
Unsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition
Kazuki Shimada, Yoshiaki Bando, Masato Mimura +3
This paper describes multichannel speech enhancement for improving automatic speech recognition (ASR) in noisy environments. Recently, the minimum variance distortionless response…
Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization
Yoshiaki Bando, Masato Mimura, Katsutoshi Itoyama +2
This paper presents a statistical method of single-channel speech enhancement that uses a variational autoencoder (VAE) as a prior distribution on clean speech. A standard approach…
Generative Statistical Models with Self-Emergent Grammar of Chord Sequences
Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama +1
Generative statistical models of chord sequences play crucial roles in music processing. To capture syntactic similarities among certain chords (e.g. in C major key, between G and…
Singing Voice Separation and Vocal F0 Estimation based on Mutual Combination of Robust Principal Component Analysis and Subharmonic Summation
Yukara Ikemiya, Katsutoshi Itoyama, Kazuyoshi Yoshii
This paper presents a new method of singing voice analysis that performs mutually-dependent singing voice separation and vocal fundamental frequency (F0) estimation. Vocal F0 estim…