public AudioIn(int sampleRate, int device, int bufferSize)
{
if (device > WaveIn.DeviceCount)
{
throw new Exception();
}
this.sampleRate = sampleRate;
this.bufferSize = bufferSize;
audioDataTrue = new short[bufferSize + 20286];
tempOdd = new double[audioDataTrue.Length];
tempTrue = new double[audioDataTrue.Length];
realIn = new PinnedArray <double>(audioDataTrue.Length);
comOut = new FftwArrayComplex(DFT.GetComplexBufferSize(realIn.GetSize()));
fft = FftwPlanRC.Create(realIn, comOut, DftDirection.Forwards);
waveInDevices = WaveIn.DeviceCount;
waveEvent = new WaveInEvent();
waveEvent.DeviceNumber = device;
waveEvent.DataAvailable += OnWaveIn;
channels = WaveIn.GetCapabilities(device).Channels;
waveEvent.WaveFormat = new WaveFormat(sampleRate, 1);
string path = Path.GetDirectoryName(Assembly.GetEntryAssembly().Location) + "/NetworkSave01.json";
// Load Neural network
if (File.Exists(path))
{
Console.WriteLine("exists");
network = NeuralNetwork.LoadNetwork(path);
}
else
{
throw new FileNotFoundException();
}
//network.PrintWeights();
waveEvent.StartRecording();
}
static void Main(string[] args)
{
try
{
TcpClient tcpClient = new TcpClient("127.0.0.1", 10000);
Console.WriteLine("Connected");
StreamReader reader = new StreamReader(tcpClient.GetStream());
StreamWriter writer = new StreamWriter(tcpClient.GetStream());
string s = "";
using (var timeDomain = new PinnedArray <double>(inputSize))
using (var frequencyDomain = new FftwArrayComplex(DFT.GetComplexBufferSize(timeDomain.GetSize())))
using (var fft = FftwPlanRC.Create(timeDomain, frequencyDomain, DftDirection.Forwards))
{
while (!(s = reader.ReadLine()).Equals("Quit") || (s == null))
{
string result = "";
if (IsValidJson(s))
{
result = ProcessMessage(s, timeDomain, frequencyDomain, fft);
}
writer.WriteLine(result);
writer.Flush();
GC.Collect();
}
reader.Close();
writer.Close();
tcpClient.Close();
}
}
catch (Exception e)
{
Console.WriteLine(e);
Console.WriteLine(e.InnerException);
Console.WriteLine(e.Message);
throw;
}
}
static void ExampleR2C()
{
double[] input = new double[97];
var rand = new Random();
for (int i = 0; i < input.Length; i++)
{
input[i] = rand.NextDouble();
}
using (var pinIn = new PinnedArray <double>(input))
using (var output = new FftwArrayComplex(DFT.GetComplexBufferSize(pinIn.GetSize())))
{
DFT.FFT(pinIn, output);
for (int i = 0; i < output.Length; i++)
{
Console.WriteLine(output[i]);
}
}
}