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  1. What is a spectrogram and how do I set its parameters?

    A spectrogram is a visual representation of the Short-Time Fourier Transform. Think of this as taking chunks of an input signal and applying a local Fourier Transform on each chunk.

  2. Signal Processing: Can someone explain for me the different type of ...

    Jan 15, 2018 · Spectrogram: Splitting a sound into harmonics A spectrogram is a visualization of the frequency spectrum, a breakdown of the sound into pure sinusoids of different frequencies. A …

  3. Using MATLAB's Spectrogram Function for Analysis

    Sep 15, 2020 · See the MATLAB documentation: s = spectrogram(x) returns the short-time Fourier transform of the input signal, x. Each column of s contains an estimate of the short-term, time …

  4. Terminology: spectrum, spectrogram, spectrograph, sonogram, etc

    May 22, 2012 · In term of proper or accepted naming conventions of DSP graphics or instrumentation output, what is the difference between the words spectrum, spectrogram, spectrograph, and similar …

  5. python - Spectrogram 2D and 3D - Stack Overflow

    Mar 15, 2020 · I've created 2D and 3D spectrogram with python scipy. The 2D spectrogram is fully correct, but 3D spectrogram looks wrong, it has additional color blue. What is wrong 3D spec? Here …

  6. audio - generating log mel spectrogram using librosa - Signal ...

    May 9, 2021 · I have come across 2 different ways of generating log-mel spectrograms for audio files using librosa and I don't know why they differ in the final output, which one is "correct" or …

  7. Can I adjust spectogram frequency axes? - Stack Overflow

    May 29, 2015 · The MATLAB documentation examples for the spectrogram function gives examples that have the frequency axis set to [0 500]. Can I change this to something like [0 100]? Obviously …

  8. Spectrogram in python using numpy - Stack Overflow

    Aug 28, 2020 · I need to make spectrogram using numpy. I take 1s of audio and split it into 0.02s chunks. Then I calculate FFT using numpy and put it back together into one image. Results are poor. …

  9. Understanding the shape of spectrograms and n_mels

    Jun 26, 2020 · The essential parameter to understanding the output dimensions of spectrograms is not necessarily the length of the used FFT (n_fft), but the distance between consecutive FFTs, i.e., the …

  10. Why 128 mel bands are used in mel spectrograms? - Stack Overflow

    Jun 28, 2020 · I am using the mel spectrogram function which can be found here: Mel Spectrogram Librosa I use it as follows: signal = librosa.feature.melspectrogram(y=waveform, sr=sample_rate, …