Shoichiro Saito

According to our database1, Shoichiro Saito authored at least 22 papers between 2005 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusion.
CoRR, 2022

Multi-View And Multi-Modal Event Detection Utilizing Transformer-Based Multi-Sensor Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2022

Echo-Aware Adaptation of Sound Event Localization and Detection in Unknown Environments.
Proceedings of the IEEE International Conference on Acoustics, 2022

CNN-Transformer with Self-Attention Network for Sound Event Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Wearable Seld Dataset: Dataset For Sound Event Localization And Detection Using Wearable Devices Around Head.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
ToyADMOS2: Another Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection under Domain Shift Conditions.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020
A Transformer-Based Audio Captioning Model with Keyword Estimation.
Proceedings of the Interspeech 2020, 2020

Sound Event Localization Based on Sound Intensity Vector Refined by Dnn-Based Denoising and Source Separation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

SPIDERnet: Attention Network For One-Shot Anomaly Detection In Sounds.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman-Pearson Lemma.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

DOA Estimation by DNN-based Denoising and Dereverberation from Sound Intensity Vector.
CoRR, 2019

Batch Uniformization for Minimizing Maximum Anomaly Score of Dnn-Based Anomaly Detection in Sounds.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

SNIPER: Few-shot Learning for Anomaly Detection to Minimize False-negative Rate with Ensured True-positive Rate.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Distant Noise Reduction Based on Multi-delay Noise Model Using Distributed Microphone Array.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Noise suppressing microphone array for highly noisy environments using power spectrum density estimation in beamspace.
Proceedings of the IEEE International Conference on Consumer Electronics, 2017

Software defined media: Virtualization of audio-visual services.
Proceedings of the IEEE International Conference on Communications, 2017

Optimizing acoustic feature extractor for anomalous sound detection based on Neyman-Pearson lemma.
Proceedings of the 25th European Signal Processing Conference, 2017

2009
Dynamic impulse response model for nonlinear acoustic system and its application to acoustic echo canceller.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

2008
Specmurt Analysis of Polyphonic Music Signals.
IEEE Trans. Speech Audio Process., 2008

2007
A Networked High-Speed Vision System for 1, 000-FPS Visual Feature Communication.
Proceedings of the 2007 First ACM/IEEE International Conference on Distributed Smart Cameras, 2007

2005
Specmurt Analysis of Multi-Pitch Music Signals with Adaptive Estimation of Common Harmonic Structure .
Proceedings of the ISMIR 2005, 2005


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