The project “Digital Hearing Aid using DSP” focuses on improving speech clarity for hearing-impaired individuals by applying digital signal processing techniques. The system was developed using Altair Compose and Altair Embed to process and enhance audio signals.

The workflow begins by importing raw voice signals in .wav format into Altair Compose, where the audio undergoes preprocessing and digital filtering. Filters such as low-pass, high-pass, and band-pass are applied to remove unwanted noise and isolate the important speech frequency range. Adaptive gain control is then used to amplify speech frequencies while minimizing background noise. The processed signal is exported as an enhanced audio output file.

To validate the improvement in sound quality, Power Spectral Density (PSD) analysis is performed to compare the frequency spectrum before and after processing. The system is further analyzed in Altair Embed for visualization and additional filtering, enabling clear observation of noise reduction and speech enhancement.

Overall, this project demonstrates a software-based, cost-effective prototype of a digital hearing aid capable of reducing background noise and improving speech intelligibility. The modular design allows future expansion into real-time embedded systems, AI-based adaptive filtering, and wearable hearing aid devices.