Improved Speech Recognition for High-Frequency Hearing Loss
Purdue University researchers have developed a unique digital signal processing technique that recodes high-frequency speech information in a way that enhances perceptual differences between commonly confused speech sounds. In preliminary testing, the algorithm has worked better than commercially available alternatives, especially for the consonants 's', 'sh', 'ch', 'j', 't', 'k', and 'z'. No degradation in vowel recognition has been observed. The efficacy of using this technology for a broader range of hearing losses, including those with cochlear implants, is currently being tested.
Improved identification of consonantsVowel degradation has not occurred Preliminary testing shows improvement over current commercial alternatives
Medical/HealthcareHearing Loss Technology
Joshua AlexanderPurdue EAR LabPurdue Health and Human Sciences
United States
None
美国
