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20212026
most citedDescription and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques

27 citations · 50 across the 8 of their papers we have counts for

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cs.SD2026

Training-Free Contextual ASR via SpeechLLM-Based Error-Aware Selective Retrieval

Natsuo Yamashita, Ai Nemoto, Ryosuke Koichi +1

Recognition of domain-specific and low-frequency terms remains challenging for automatic speech recognition (ASR). Although contextual biasing can improve their recognition, direct…

cs.SD2025

LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic Context

Natsuo Yamashita, Masaaki Yamamoto, Hiroaki Kokubo +1

Generative error correction (GER) with large language models (LLMs) has emerged as an effective post-processing approach to improve automatic speech recognition (ASR) performance.…

cs.SD2024

End-to-End Integration of Speech Emotion Recognition with Voice Activity Detection using Self-Supervised Learning Features

Natsuo Yamashita, Masaaki Yamamoto, Yohei Kawaguchi

Speech Emotion Recognition (SER) often operates on speech segments detected by a Voice Activity Detection (VAD) model. However, VAD models may output flawed speech segments, especi…

cs.SD2022★ 27 cited

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

Kota Dohi, Keisuke Imoto, Noboru Harada +7

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 ap…

cs.SD2022★ 22 cited

MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task

Kota Dohi, Tomoya Nishida, Harsh Purohit +5

We present a machine sound dataset to benchmark domain generalization techniques for anomalous sound detection (ASD). Domain shifts are differences in data distributions that can d…

cs.SD2021

Environmental Sound Extraction Using Onomatopoeic Words

Yuki Okamoto, Shota Horiguchi, Masaaki Yamamoto +2

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. We…