Coherent-to-Diffuse Power Ratio Estimation for Dereverberation
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Abstract (arXiv)
The estimation of the time- and frequency-dependent coherent-to-diffuse power ratio (CDR) from the measured spatial coherence between two omnidirectional microphones is investigated. Known CDR estimators are formulated in a common framework, illustrated using a geometric interpretation in the complex plane, and investigated with respect to bias and robustness towards model errors. Several novel unbiased CDR estimators are proposed, and it is shown that knowledge of either the direction of arrival (DOA) of the target source or the coherence of the noise field is sufficient for unbiased CDR estimation. The validity of the model for the application of CDR estimates to dereverberation is investigated using measured and simulated impulse responses. A CDR-based dereverberation system is presented and evaluated using signal-based quality measures as well as automatic speech recognition accuracy. The results show that the proposed unbiased estimators have a practical advantage over existing estimators, and that the proposed DOA-independent estimator can be used for effective blind dereverberation.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Feb 2015.
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Citing papers per year: 2021: 2; 2022: 4; 2023: 0; 2024: 0; 2025: 1.
7 papers.
- 2025SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearingcited by 14
- 2021Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognitioncited by 4
- 2022Customizable End-to-end Optimization of Online Neural Network-supported Dereverberation for Hearing Devicescited by 1
- 2022Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environmentscited by 1
- 2021Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environmentscited by 0
- 2022Spatial Processing Front-End For Distant ASR Exploiting Self-Attention Channel Combinatorcited by 0
- 2022A neural network-supported two-stage algorithm for lightweight dereverberation on hearing devicescited by 0
- 2025SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing4 Jun 2025
- 2022A neural network-supported two-stage algorithm for lightweight dereverberation on hearing devices6 Apr 2022
- 2022Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments6 Apr 2022
- 2022Customizable End-to-end Optimization of Online Neural Network-supported Dereverberation for Hearing Devices6 Apr 2022
- 2022Spatial Processing Front-End For Distant ASR Exploiting Self-Attention Channel Combinator25 Mar 2022
- 2021Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition10 Sep 2021
- 2021Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments25 Jun 2021