C # visualisation sonore

Question

Je voudrais créer un système de visualisation utilisant son langage C # et .NET Framework. Cela pourrait ressembler à l'application Winamp. Il existe peut-être bibliothèque libre ou quelques articles intéressants qui décrivent comment le faire? Exemple: texte alt http://img44.imageshack.us/img44/9982/examplel.png

Answer 1

Vous pouvez essayer ces liens

OpenVP (est une plate-forme open-source libre et pour le développement de la musique visualisations, écrit en C #), consultez le OpenVP Captures d'écran .

son Visualiseur en C #

Play et fichiers WAV Visualise en utilisant Managed Direct Sound

Au revoir.

Answer 2

Voici un script qui calcule la FFT de tout son joué sur l'ordinateur en utilisant l'API WASAPI. Il utilise CScore et son WinformsVisualization exemple:

using CSCore;
using CSCore.SoundIn;
using CSCore.Codecs.WAV;
using WinformsVisualization.Visualization;
using CSCore.DSP;
using CSCore.Streams;
using System;

public class SoundCapture
{

    public int numBars = 30;

    public int minFreq = 5;
    public int maxFreq = 4500;
    public int barSpacing = 0;
    public bool logScale = true;
    public bool isAverage = false;

    public float highScaleAverage = 2.0f;
    public float highScaleNotAverage = 3.0f;



    LineSpectrum lineSpectrum;

    WasapiCapture capture;
    WaveWriter writer;
    FftSize fftSize;
    float[] fftBuffer;

    SingleBlockNotificationStream notificationSource;

    BasicSpectrumProvider spectrumProvider;

    IWaveSource finalSource;

    public SoundCapture()
    {

        // This uses the wasapi api to get any sound data played by the computer
        capture = new WasapiLoopbackCapture();

        capture.Initialize();

        // Get our capture as a source
        IWaveSource source = new SoundInSource(capture);


        // From https://github.com/filoe/cscore/blob/master/Samples/WinformsVisualization/Form1.cs

        // This is the typical size, you can change this for higher detail as needed
        fftSize = FftSize.Fft4096;

        // Actual fft data
        fftBuffer = new float[(int)fftSize];

        // These are the actual classes that give you spectrum data
        // The specific vars of lineSpectrum here aren't that important because they can be changed by the user
        spectrumProvider = new BasicSpectrumProvider(capture.WaveFormat.Channels,
                    capture.WaveFormat.SampleRate, fftSize);

        lineSpectrum = new LineSpectrum(fftSize)
        {
            SpectrumProvider = spectrumProvider,
            UseAverage = true,
            BarCount = numBars,
            BarSpacing = 2,
            IsXLogScale = false,
            ScalingStrategy = ScalingStrategy.Linear
        };

        // Tells us when data is available to send to our spectrum
        var notificationSource = new SingleBlockNotificationStream(source.ToSampleSource());

        notificationSource.SingleBlockRead += NotificationSource_SingleBlockRead;

        // We use this to request data so it actualy flows through (figuring this out took forever...)
        finalSource = notificationSource.ToWaveSource();

        capture.DataAvailable += Capture_DataAvailable;
        capture.Start();
    }

    private void Capture_DataAvailable(object sender, DataAvailableEventArgs e)
    {
        finalSource.Read(e.Data, e.Offset, e.ByteCount);
    }

    private void NotificationSource_SingleBlockRead(object sender, SingleBlockReadEventArgs e)
    {
        spectrumProvider.Add(e.Left, e.Right);
    }

    ~SoundCapture()
    {
        capture.Stop();
        capture.Dispose();
    }

    public float[] barData = new float[20];

    public float[] GetFFtData()
    {
        lock (barData)
        {
            lineSpectrum.BarCount = numBars;
            if (numBars != barData.Length)
            {
                barData = new float[numBars];
            }
        }

        if (spectrumProvider.IsNewDataAvailable)
        {
            lineSpectrum.MinimumFrequency = minFreq;
            lineSpectrum.MaximumFrequency = maxFreq;
            lineSpectrum.IsXLogScale = logScale;
            lineSpectrum.BarSpacing = barSpacing;
            lineSpectrum.SpectrumProvider.GetFftData(fftBuffer, this);
            return lineSpectrum.GetSpectrumPoints(100.0f, fftBuffer);
        }
        else
        {
            return null;
        }
    }

    public void ComputeData()
    {


        float[] resData = GetFFtData();

        int numBars = barData.Length;

        if (resData == null)
        {
            return;
        }

        lock (barData)
        {
            for (int i = 0; i < numBars && i < resData.Length; i++)
            {
                // Make the data between 0.0 and 1.0
                barData[i] = resData[i] / 100.0f;
            }

            for (int i = 0; i < numBars && i < resData.Length; i++)
            {
                if (lineSpectrum.UseAverage)
                {
                    // Scale the data because for some reason bass is always loud and treble is soft
                    barData[i] = barData[i] + highScaleAverage * (float)Math.Sqrt(i / (numBars + 0.0f)) * barData[i];
                }
                else
                {
                    barData[i] = barData[i] + highScaleNotAverage * (float)Math.Sqrt(i / (numBars + 0.0f)) * barData[i];
                }
            }
        }

    }
}

Ensuite, lors de la récupération du barData à partir d'un autre script, il est recommandé de verrouiller la première car cela est modifié sur un thread séparé.

Je ne sais pas où je suis arrivé GetSpectrumPoints car il ne semble pas être dans le Github repo , mais ici il est. Il suffit de coller cela dans ce fichier et mon code devrait fonctionner.

public float[] GetSpectrumPoints(float height, float[] fftBuffer)
{
    SpectrumPointData[] dats = CalculateSpectrumPoints(height, fftBuffer);
    float[] res = new float[dats.Length];
    for (int i = 0; i < dats.Length; i++)
    {
        res[i] = (float)dats[i].Value;
    }

    return res;
}