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Patrick Meyer

4 accepted papers

2021

A New DCASE 2017 Rare Sound Event Detection Benchmark Under Equal Training Data: CRNN With Multi-Width Kernels

ICASSP 2021accepted

Rare sound event detection (rare SED) deals with obtaining valuable information from data consisting mostly of acoustic background noises. It has meanwhile a long research history and was part of the DCASE 2017 Challenge. State-of-the-art performance is currently reached using a stacked combination…

Cited by 0SourceScholar
2020

A Multichannel Kalman-Based Wiener Filter Approach for Speaker Interference Reduction in Meetings

ICASSP 2020accepted

Recording a meeting and obtaining clean speech signals of each speaker is a challenging task. Even with a multichannel recording, in which all speakers are equipped with a close-talk microphone, speech of an active speaker still couples not only into his dedicated microphone, but also into all other…

Cited by 0SourceScholar
2016

Soft linear discriminant analysis (SLDA) for pattern recognition with ambiguous reference labels: Application to social signal processing

ICASSP 2016accepted

While most pattern recognition approaches are designed and trained with clearly defined reference labels, there are a few new applications working with ambiguous ones. Since the linear discriminant analysis (LDA) is one of the most utilized methods in pattern recognition to reduce the dimensionality…

Cited by 0SourceScholar