Search Results for author: Keisuke Imoto

Found 10 papers, 5 papers with code

Discriminative Neighborhood Smoothing for Generative Anomalous Sound Detection

no code implementations18 Mar 2024 Takuya Fujimura, Keisuke Imoto, Tomoki Toda

We propose discriminative neighborhood smoothing of generative anomaly scores for anomalous sound detection.

Refining Knowledge Transfer on Audio-Image Temporal Agreement for Audio-Text Cross Retrieval

no code implementations16 Mar 2024 Shunsuke Tsubaki, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Keisuke Imoto

Experimental results show that method (i) improves the audio-text retrieval performance by selecting the nearest image that aligns with the audio information and transferring the learned knowledge.

Image Retrieval Retrieval +2

Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques

2 code implementations13 Jun 2022 Kota Dohi, Keisuke Imoto, Noboru Harada, Daisuke Niizumi, Yuma Koizumi, Tomoya Nishida, Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi

We present the task description and discussion on the results of the DCASE 2022 Challenge Task 2: ``Unsupervised anomalous sound detection (ASD) for machine condition monitoring applying domain generalization techniques''.

domain classification Domain Generalization +1

Environmental Sound Extraction Using Onomatopoeic Words

no code implementations1 Dec 2021 Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto, Keisuke Imoto, Yohei Kawaguchi

An onomatopoeic word, which is a character sequence that phonetically imitates a sound, is effective in expressing characteristics of sound such as duration, pitch, and timbre.

Onoma-to-wave: Environmental sound synthesis from onomatopoeic words

no code implementations11 Feb 2021 Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita

We also propose a method of environmental sound synthesis using onomatopoeic words and sound event labels.

Sound Audio and Speech Processing

RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis

no code implementations9 Jul 2020 Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryosuke Yamanishi, Takahiro Fukumori, Yoichi Yamashita

We believe that using onomatopoeic words will enable us to control the fine time-frequency structure of synthesized sounds.

Sound Audio and Speech Processing

ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection

2 code implementations9 Aug 2019 Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Noboru Harada, Keisuke Imoto

To build a large-scale dataset for ADMOS, we collected anomalous operating sounds of miniature machines (toys) by deliberately damaging them.

Anomaly Detection

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