Speech perception problems of the hearing impaired reflect inability to use temporal fine structure

By C. Lorenzi, G. Gilbert, Héloïse Carn, S. Garnier, Brian C. J. Moore. Proceedings of the National Academy of Sciences of the United States of America, 2006

626 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Sensory Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/a50f8820506ef3010dd750573a10c3a6d0a72a46

How researchers see this paper

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

In Cognitive Neuroscience

1. Deliang Wang
2. Yuxuan Wang
3. Eric W. Healy
4. Sarah E. Yoho
5. Donald S. Williamson
6. Ke Tan
7. Yi Luo
8. Nima Mesgarani

In Signal Processing

1. Deliang Wang
2. Yuxuan Wang
3. Eric W. Healy
4. Sarah E. Yoho
5. Arun Narayanan
6. Ke Tan
7. Zhuo Chen
8. Donald S. Williamson

Citations in the corpus

• An algorithm to improve speech recognition in noise for hearing-impaired listeners. (2013, background): “Finally, and most recently, it has been suggested that HI listeners benefit less than normal from the temporal fine structure of speech (e.g., Lorenzi et al., 2006).”