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  2. Audio time stretching and pitch scaling - Wikipedia

    en.wikipedia.org/wiki/Audio_time_stretching_and...

    One way of stretching the length of a signal without affecting the pitch is to build a phase vocoder after Flanagan, Golden, and Portnoff.. Basic steps: compute the instantaneous frequency/amplitude relationship of the signal using the STFT, which is the discrete Fourier transform of a short, overlapping and smoothly windowed block of samples;

  3. Sonic Visualiser - Wikipedia

    en.wikipedia.org/wiki/Sonic_Visualiser

    Spectrogram is a heatmap, where horizontal axis represents time, vertical axis represents frequency, and the colors show presence of frequencies. Sharpness and smoothness of the spectrogram can be configured. [5] There are three types of spectrogram: generic spectrogram; melodic-range spectrogram; peak-frequency spectrogram

  4. Phase vocoder - Wikipedia

    en.wikipedia.org/wiki/Phase_vocoder

    The main problem that has to be solved for all cases of manipulation of the STFT is the fact that individual signal components (sinusoids, impulses) will be spread over multiple frames and multiple STFT frequency locations (bins). This is because the STFT analysis is done using overlapping analysis windows.

  5. Signal analyzer - Wikipedia

    en.wikipedia.org/wiki/Signal_analyzer

    A signal analyzer is an instrument that measures the magnitude and phase of the input signal at a single frequency within the IF bandwidth of the instrument. It employs digital techniques to extract useful information that is carried by an electrical signal. [ 1 ]

  6. Time–frequency analysis for music signals - Wikipedia

    en.wikipedia.org/wiki/Time–frequency_analysis...

    Musical sound can be more complicated than human vocal sound, occupying a wider band of frequency. Music signals are time-varying signals; while the classic Fourier transform is not sufficient to analyze them, time–frequency analysis is an efficient tool for such use. Time–frequency analysis is extended from the classic Fourier approach.

  7. Smaart - Wikipedia

    en.wikipedia.org/wiki/Smaart

    This feature allows the software to 'ignore' later signal reflections from walls and other surfaces, increasing in coherence as the audio frequency increases. [ 4 ] The latest version of Smaart 8 runs under Windows 7 or newer, and Mac OSX 10.7 or newer, including 32- and 64-bit versions.

  8. WavePad Audio Editor - Wikipedia

    en.wikipedia.org/wiki/WavePad_Audio_Editor

    Audio effects: amplify, normalize, equalize, envelope, reverb, echo, reverse and many more with VST plugin compatibility; Batch processing allows users to apply effects and/or convert thousands of files as a single function; Scrub, search, and bookmark audio to find, recall and assemble segments of audio files

  9. Pitch detection algorithm - Wikipedia

    en.wikipedia.org/wiki/Pitch_detection_algorithm

    Frequency domain, polyphonic detection is possible, usually utilizing the periodogram to convert the signal to an estimate of the frequency spectrum [4].This requires more processing power as the desired accuracy increases, although the well-known efficiency of the FFT, a key part of the periodogram algorithm, makes it suitably efficient for many purposes.

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