Speech processing using wavelete transformation and its implementation in digital hearing aids
Summary :
Table of Contents
- Abstract
- Normal cochlear function
- Hearing aids
- Analog hearing aids
- Digital hearing aids
- Speech enhancement using wavelet
- Daubechies wavelet filter coefficients
- Discrete wavelet transform
- Algorithm
- Results
- Conclusion
- References
Abstract
hearing impairment is the number one chronic disability affecting people in the world. Many people have great difficulty in understanding speech with background noise. This is especially true for a large number of elderly people and the sensorineural impaired persons. Several investigations on speech intelligibility have demonstrated that subjects with sensorineural loss may need a 5-15 dB higher signal-to-noise ratio than the normal hearing subjects. While most defects in transmission chain up to cochlea can nowadays be successfully rehabilitated by means of surgery, the great majority of the remaining inoperable cases are sensorineural hearing impaired. Recent statistics of the hearing impaired patients applying for a hearing aid reveal that 20% of the cases are due to conductive losses, more than 50% are due to sensorineud losses, and the rest 30% of the cases are of mixed origin.
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