C# ses görselleştirme

Question

C# dili ve .NET Framework kullanarak bir ses görselleştirme sistemi oluşturmak istiyorum. Bu, Winamp uygulamasında olduğu gibi olabilir. Belki de ücretsiz kütüphane veya nasıl yapılacağını anlatan ilginç makaleler var mı? Örnek: alt text http://img44.imageshack.us/img44/9982/examplel.png

Answer 1

Sen OpenVP Screenshots bkz bu bağlantıları

OpenVP

(C# ile yazılmış müzik görselleştirme, gelişmekte için ücretsiz ve açık kaynak platformudur) deneyebilirsiniz.

Play and Visualize WAV Files using Managed Direct Sound

Bye

Sound visualizer in C#

.

Answer 2

WASAPI API'sı kullanılarak bilgisayarda çalınan herhangi bir sesin FFT'sini hesaplayan bir komut dosyası. ayrı bir iş parçacığı üzerinde değiştirilir beri ilk kilitlemek önerilir farklı bir komut barData alınırken Sonra

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]; 
       } 
      } 
     } 

    } 
} 

: Bu CSCore ve WinformsVisualization örneğini kullanır.

Github Repo'da görünmediği için nereden aldığımdan emin değilim , ama işte burada. Sadece bu dosyaya yapıştırın ve kodum çalışmalıdır.

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; 
}