mlsanityData to 19 Oct 2026

To Dereverb Or Not to Dereverb? Perceptual Studies On Real-Time Dereverberation Targets

arXiv 2206.07917 ↗First posted 16 Jun 2022eess.AS cs.SDcited by 2

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Abstract (arXiv)

In real life, room effect, also known as room reverberation, and the present background noise degrade the quality of speech. Recently, deep learning-based speech enhancement approaches have shown a lot of promise and surpassed traditional denoising and dereverberation methods. It is also well established that these state-of-the-art denoising algorithms significantly improve the quality of speech as perceived by human listeners. But the role of dereverberation on subjective (perceived) speech quality, and whether the additional artifacts introduced by dereverberation cause more harm than good are still unclear. In this paper, we attempt to answer these questions by evaluating a state of the art speech enhancement system in a comprehensive subjective evaluation study for different choices of dereverberation targets.

Key facts. Cited by 2 papers in the map (data through 19 Oct 2026). First posted on arXiv 16 Jun 2022.

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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 1.

2 papers.

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  1. 2025How much to Dereverberate? Low-Latency Single-Channel Speech Enhancement in Distant Microphone Scenarios
  2. 2021Learning Audio-Visual Dereverberation
  3. 2023Diffusion Posterior Sampling for Informed Single-Channel Dereverberation
  4. 2023AdVerb: Visually Guided Audio Dereverberation
  5. 2022Speech Enhancement and Dereverberation with Diffusion-based Generative Models
  6. 2025On the Application of Diffusion Models for Simultaneous Denoising and Dereverberation
  7. 2021Late reverberation suppression using U-nets
  8. 2022Feature Learning and Ensemble Pre-Tasks Based Self-Supervised Speech Denoising and Dereverberation