Normalized spectrogram correlation (Sciuridae)

Knowledge graph centered on Normalized spectrogram correlation (Sciuridae) with 23 nodes and 93 connections. Top connected: Marmota flaviventris, Rushes, A test of the acoustic adaptation hypothesis in fo, Polemonium viscosum, Parus major.

Method synopsis

Digital signal processing technique using normalized spectrogram correlations to quantify acoustic signal degradation by comparing two-dimensional spectrograms between reference and experimental distances. Uses 256-point FFT with Hamming window to generate spectrograms for correlation analysis.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — A test of the acoustic adaptation hypothesis in four species of marmots (1998), Animal Behavior. Implementations in other papers (listed below) may differ.

1. Spectrogram correlation analysis
   Calculated normalized spectrogram correlations between sounds recorded at reference distance of 1m and experimental distances of 10, 20, 30, and 40m. Generated 'boxy' sound spectrograms using 256-point short-time Fourier transformation (50% overlap). Applied Hamming window and -110 dB clipping level. Normalized spectrogram correlation compares overall two-dimensional shape of the spectrograms but ignores amplitude differences between the two sounds being compared.
   Quantities: 256-point Fourier transformation with 50% overlap, -110 dB clipping level, correlations calculated for 4 experimental distancesDuration: Analysis conducted on all digitized recordingsConditions: Standardized digital signal processing parameters
   Equipment: Canary 1.2 software (Charif et al. 1995), 256-point FFT analysis

Typical Equipment

• Canary 1.2 software

Output Measurements

• normalized correlation coefficients
• signal similarity measures

Papers Using This Protocol (1)

Species Studied With This Protocol