Code Implementation for Segmental SNR and Itakura-Saito Distance Calculation

In this implementation, we provide comprehensive code for calculating segmental SNR and Itakura-Saito distance metrics to evaluate speech enhancement performance. The code includes frame-based processing algorithms with configurable parameters for window size (typically 20-30ms) and overlap percentage. Key features include: - Segmental SNR calculation that divides speech signals into short-time frames and computes SNR values per frame before averaging - Itakura-Saito distance measurement implementing spectral envelope comparison between original and enhanced signals - Automated silence detection and removal for more accurate metric computation - Support for various audio formats (WAV, MP3) with automatic sampling rate handling The implementation utilizes efficient vectorized operations and includes error handling for inconsistent input dimensions. These metrics enable quantitative assessment of speech enhancement algorithms under different noise conditions and facilitate comparative analysis between different enhancement approaches. The modular code structure allows easy integration into existing evaluation pipelines and supports batch processing for large datasets. Researchers and engineers can readily adapt these implementations with minimal modification to suit specific application requirements.