Analysis of the performance of Evolved Frequency Log-Energy Coefficients in Hearing Aids for different Cost Constraints and Scenarios

García-Gómez J, Mohíno-Herranz I, Clares-Crespo C, Fernández-Toloba A, Gil-Pita R. Analysis of the performance of Evolved Frequency Log-Energy Coefficients in Hearing Aids for different Cost Constraints and Scenarios. In: AES Convention 145. Audio Engineering Society; 2018. Paper 10111. Available from: https://aes.org/publications/elibrary-page/?id=19837

@inproceedings{GarciaGomez2018_19837,
  author = {García-Gómez, Joaquín and Mohíno-Herranz, Inma and Clares-Crespo, César and Fernández-Toloba, Alfredo and Gil-Pita, Roberto},
  title = {{Analysis of the performance of Evolved Frequency Log-Energy Coefficients in Hearing Aids for different Cost Constraints and Scenarios}},
  booktitle = {AES Convention 145},
  note = {Paper 10111},
  year = {2018},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19837}
}

TY  - CPAPER
TI  - Analysis of the performance of Evolved Frequency Log-Energy Coefficients in Hearing Aids for different Cost Constraints and Scenarios
AU  - García-Gómez, Joaquín
AU  - Mohíno-Herranz, Inma
AU  - Clares-Crespo, César
AU  - Fernández-Toloba, Alfredo
AU  - Gil-Pita, Roberto
T2  - AES Convention 145
M1  - Paper 10111
PY  - 2018
DA  - 2018/10/06
UR  - https://aes.org/publications/elibrary-page/?id=19837
PB  - Audio Engineering Society
LA  - en
AB  - Hearing loss is a common problem in old people. Nowadays hearing aids compensate these losses and make their life better, but they present some important issues (reduced battery life, requirement of real-time processing). Because of that, the algorithms implemented in these devices must work at low clock rates. Voice Activity Detection (VAD) is one of the main algorithms used in hearing aids, since it is useful for reducing the environmental noise and enhancing the speech intelligibility. In this paper a VAD algorithm will be tested using QUT-NOISE-TIMIT Corpus, with different computational cost constraints and at different locations.
ER  -