Model-based fusion of bone and air sensors for speech enhancement and robust speech recognition

By John R. Hershey, Trausti T. Kristjansson, Zhengyou Zhang. 2004

15 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yunpeng Li
2. Marco Tagliasacchi
3. Dominik Roblek
4. Karolis Misiunas
5. Zhihao Du
6. Neil Zeghidour
7. Pavel Andreev
8. Zalán Borsos

Citations in the corpus

• SEANet: A Multi-modal Speech Enhancement Network (2020, methodology): “The work in [24] combines signals from a microphone and a bone sensor using a Gaussian mixture model on the high-resolution log spectra of each sensor.”