Summary

In this chapter, we looked at a variety of time-frequency displays appropriate for audio signals. All were implemented in terms of the short-time Fourier transform (STFT). The classical spectrogram was reviewed, and its performance on a speech sample was illustrated. A loudness spectrogram based on a model of time-varying loudness perception [88] was discussed. In this model, the STFT (or a multiresolution STFT), is smoothed and non-uniformly resampled in frequency to approximate an auditory filter bank, whose power output is taken to be the excitation pattern. A compressive nonlinearity is then applied to produce the specific loudness, which we took as our loudness spectrogram. The specific loudness can be optionally smoothed with respect to time to form a short- or long-term loudness spectrogram. Summing over frequency yields the corresponding loudness functions versus time.

FFT-based non-uniform filter banks, providing more efficient loudness spectrograms, are discussed in §10.7.


Next Section:
Convolution of Short Signals
Previous Section:
Audio Spectrograms