Author ORCID Identifier
https://orcid.org/0000-0001-8910-7741
Document Type
Conference Paper
Disciplines
2.2 ELECTRICAL, ELECTRONIC, INFORMATION ENGINEERING, Electrical and electronic engineering
Abstract
Speech enhancement algorithms are needed for Assisted Living (AL) environments, which are characterized by large inter-microphone spacings, significant phase-wraparound, and high reverberation times (T60). We contribute Elevato- CDR, which addresses the task of enhancing speech given the large relative delays and high levels of reverberation, which are characteristic of AL scenarios. The purpose of this paper is to evaluate Elevato-CDR’s performance and compare it with benchmark reverberation schemes, using speech mixtures which experience reverberation and background noise. Our findings indicate that Elevato-CDR successfully outperforms classical dereverberation algorithms in terms of subjective (MARS, PESQ) and objective (SDR, SRR) performance measures in environments where the T60 = 4.1 s and the inter-microphone spacing is up to 3.7 m. These findings demonstrate that combining a robust, big relative delay estimation technique, called the Elevatogram with a coherence-based reverberation attenuation method extends the useful ran.
DOI
https://doi.org/10.1109/ICFSP62546.2024.10785349
Recommended Citation
Bagchi, Swarnadeep and de Fréin, Ruairí, "Elevato-CDR: Speech Enhancement in Large Delay and Reverberant Assisted Living Scenarios" (2024). Conference papers. 395.
https://arrow.tudublin.ie/engscheleart/395
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Publication Details
2024 9th International Conference on Frontiers of Signal Processing (ICFSP)
doi:10.1109/ICFSP62546.2024.10785349