Optimal Window and Lattice in Gabor Transform Application to Audio Analysis
This work addresses incremental improvements in audio signal processing for applications like audio analysis, focusing on enhanced time-frequency resolution.
The authors tackled the problem of improving time-frequency analysis for non-stationary audio signals by introducing a local window adaptation technique in the Discrete Gabor Transform, building on prior work with optimal lattice and window. They demonstrated improvements in distinguishing close frequencies, frequency estimation, and SNR estimation, with results presented using real-world audio signals.
This article deals with the use of optimal lattice and optimal window in Discrete Gabor Transform computation. In the case of a generalized Gaussian window, extending earlier contributions, we introduce an additional local window adaptation technique for non-stationary signals. We illustrate our approach and the earlier one by addressing three time-frequency analysis problems to show the improvements achieved by the use of optimal lattice and window: close frequencies distinction, frequency estimation and SNR estimation. The results are presented, when possible, with real world audio signals.