TOWARD MMWAVE-BASED SOUND ENHANCEMENT AND SEPARATION
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, ISSN: 1520-6149, Vol: 2022-May, Page: 6852-6856
2022
- 5Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
Speech enhancement and separation have been a longstanding problem with recent advances using a single microphone. With the help of video modality, improvements have been shown for these tasks. In this work, we explore a multimodal approach using mmWave radio devices, as these devices can measure vocal folds vibration. Thorough data collection and extensive experiments with two different neural networks indicate that radio modality can bring significant improvements in speech enhancement and separation.
Bibliographic Details
Institute of Electrical and Electronics Engineers (IEEE)
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