Designing Optimal Filters for Speech Denoising

• Plot the noisy speech signal in both time-domain and frequency-domain representations • Perform time-frequency analysis of noise-corrupted speech signals • Design and implement appropriate digital filters for speech denoising using signal processing algorithms • Apply filter design techniques to remove noise components while preserving speech characteristics • Plot the cleaned signal in both time-domain and frequency-domain for performance validation • Conduct time-frequency analysis of processed signals to evaluate denoising effectiveness • Explore advanced audio processing applications including reverberation systems

Time-Frequency Analysis of Noisy Speech Signals with Denoising and Reverberation Processing

1. Perform time-frequency analysis on noisy speech signals using spectrogram and periodogram methods 2. Design appropriate digital filters (FIR/IIR) for denoising through frequency response analysis 3. Conduct post-denoising time-frequency analysis to evaluate performance metrics 4. Implement a reverberation effect using four comb filters and two all-pass filters with equalizer integration for echo generation