Computerised Speech Processing in Hearing Aids using FPGA Architecture
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 5
Abstract
The development of computerized speech processing system is to mimic the natural functionality of human hearing, because of advent of technology that used Very Large Scale Integration (VLSI) devices such as Field Programmable Gate Array (FPGA) to meet the challenging requirement of providing 100% functionality of the damaged human hearing parts. Here a computerized laboratory speech processor based on Xilinx Spartan3 FPGA system was developed for hearing aids research and also presented comparison details of the commercially available Hearing Aids. The hardware design and software implementation of the speech processor are described in detail. The FPGA based speech processor is capable of providing high-rate stimulation with 12 electrodes against conventional 8 electrodes in earlier research. Using short biphasic pulses presented either simultaneously or in an interleaved fashion. Different speech processing algorithms including the Continuous Interleaved Sampling (CIS) strategy were implemented in this processor and tested successfully.
Authors and Affiliations
V. Hanuman Kumar , Prof. P. Seetha Ramaiah
Towards Improving the Quality of Present MAC Protocols for LECIM Systems
Wireless networking system is quickly growing in the field of communication technology due to its usefulness and huge applications. To make the system more effective to the users its lower energy consumption, security, r...
The Impact of Analytical Assessment of Requirements Prioritization Models: An Empirical Study
Requirements prioritization is one of the important parts of managing requirements in software development process which plays its role in the success or failure of a software product. A software product can go wrong or...
An Algorithmic approach for abstracting transient states in timed systems
In previous works, the timed logic TCTL was extended with importants modalities, in order to abstract transient states that last for less than k time units. For all modalities of this extension, called TCTL?, the decidab...
Skew correction for Chinese character using Hough transform
Chinese Handwritten character recognition is an emerging field in Computer Vision and Pattern Recognition. Documents acquired through Scanner, Mobile or Camera devices are often prone to Skew and Correction of skew...
Ladder Networks: Learning under Massive Label Deficit
Advancement in deep unsupervised learning are finally bringing machine learning close to natural learning, which happens with as few as one labeled instance. Ladder Networks are the newest deep learning architecture that...