C＃聲音可視化

Question

我想創建一個使用C＃語言和.NET Framework的聲音可視化系統。 這可能看起來像在Winamp應用程序中。 也許存在免費的圖書館或一些有趣的文章，描述如何做到這一點？ 例子： alt text http://img44.imageshack.us/img44/9982/examplel.png

Answer 1

您可以嘗試以下鏈接

OpenVP（是開發音樂可視化，用C＃編寫的自由和開源平臺），請參閱OpenVP Screenshots。

Sound visualizer in C#

Play and Visualize WAV Files using Managed Direct Sound

再見。

Answer 2

下面是一個腳本，用於計算計算機上使用WASAPI API播放的任何聲音的FFT。從我們建議先鎖定它，因爲這是一個單獨的線程修改不同的腳本檢索barData時

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]; 
       } 
      } 
     } 

    } 
} 

然後：它採用CSCore及其WinformsVisualization例子。

我不知道我在哪裏得到了GetSpectrumPoints，因爲它似乎不在Github Repo中，但在這裏。只需將其粘貼到該文件中，我的代碼就可以工作。

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; 
}