LSP Analysis-Based Formant Extraction Algorithm

This article presents a formant extraction algorithm based on Line Spectral Pair (LSP) analysis. This algorithm provides an executable solution for analyzing formants in voice waveforms and extracting crucial acoustic parameters. Through this methodology, we can achieve more precise characterization of voice properties and obtain improved performance in practical applications. The algorithm incorporates innovative techniques including LSP-to-formant conversion procedures, peak detection methods, and spectral envelope analysis. Key implementation aspects involve calculating LSP coefficients from linear prediction parameters, identifying formant frequencies through spectral peak picking algorithms, and implementing validity checks using bandwidth thresholds. Notably, the approach employs advanced signal processing techniques that enhance waveform interpretation accuracy while mitigating common errors such as formant merging and false peak detection. Overall, this LSP-based formant extraction algorithm serves as a robust tool for voice analysis, delivering reliable formant tracking and improved acoustic feature extraction for speech processing applications.