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Study of Lightweight Transformer Architectures for Single-Channel Speech Enhancement
In speech enhancement, achieving state-of-the-art (SotA) performance while adhering to the computational constraints on edge devices remains a formidable challenge.
Enhanced Deep Speech Separation in Clustered Ad Hoc Distributed Microphone Environments
Ad-hoc distributed microphone environments, where microphone locations and numbers are unpredictable, present a challenge to traditional deep learning models, which typically require fixed architectures.
Margin-Mixup: A Method for Robust Speaker Verification in Multi-Speaker Audio
Most speaker verification systems are designed with the assumption of a single speaker being present in a given audio segment.
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech
We show that the use of noise-floor features is complementary to multi-condition training in which foreground speech is added to training signal to reduce the mismatch between training and testing conditions.
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