Speech dereverberation constrained on room impulse response characteristics

Autor:	Bahrman, Louis, Fontaine, Mathieu, Roux, Jonathan Le, Richard, Gaël
Rok vydání:	2024
Předmět:	Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing Electrical Engineering and Systems Science - Signal Processing
Zdroj:	INTERSPEECH, Sep 2024, Kos Island, Greece
Druh dokumentu:	Working Paper
Popis:	Single-channel speech dereverberation aims at extracting a dry speech signal from a recording affected by the acoustic reflections in a room. However, most current deep learning-based approaches for speech dereverberation are not interpretable for room acoustics, and can be considered as black-box systems in that regard. In this work, we address this problem by regularizing the training loss using a novel physical coherence loss which encourages the room impulse response (RIR) induced by the dereverberated output of the model to match the acoustic properties of the room in which the signal was recorded. Our investigation demonstrates the preservation of the original dereverberated signal alongside the provision of a more physically coherent RIR.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2407.08657 Zobrazit plný text záznamu View this record from Arxiv