private async void processData()
{
// First, convert our list of audio chunks into a flattened single array
float[] rawData = flattenList(recordedAudio);
// Once we've done that, we can clear this out no problem
recordedAudio.Clear();
// Next, convert the data into FLAC:
byte[] flacData = null;
flacData = lf.compressAudio(rawData, sio.getInputSampleRate(), sio.getInputNumChannels());
// Upload it to the server and get a response!
RecognitionResult result = await recognizeSpeech(flacData, sio.getInputSampleRate());
// Check to make sure everything went okay, if it didn't, check the debug log!
if (result.result.Count != 0)
{
// This is just some fancy code to display each hypothesis as sone text that gets redder
// as our confidence goes down; note that I've never managed to get multiple hypotheses
this.textOutTranscript.Inlines.Clear();
foreach (var alternative in result.result[0].alternative)
{
Run run = new Run();
run.Text = alternative.transcript + "\n\n";
byte bg = (byte)(alternative.confidence * 255);
run.Foreground = new SolidColorBrush(System.Windows.Media.Color.FromArgb(255, 255, bg, bg));
textOutTranscript.Inlines.Add(run);
}
}
else
{
textOutTranscript.Text = "Errored out!";
}
}
private void startStopButton_Click(object sender, RoutedEventArgs e)
{
if (startStopButton.Content.Equals("Start"))
{
// Start the audio source running
sio.start();
// Output debugging info
textOutput.Text = "Sound Parameters:\n";
textOutput.Text += "Input: " + sio.getInputNumChannels() +
" channels at " + sio.getInputSampleRate() / 1000.0 +
" KHz, " + sio.getInputBitdepth() + " bits per sample\n";
textOutput.Text += "Output: " + sio.getOutputNumChannels() +
" channels at " + sio.getOutputSampleRate() / 1000.0 +
" KHz, " + sio.getOutputBitdepth() + " bits per sample\n";
startStopButton.Content = "Stop";
}
else
{
sio.stop();
textOutput.Text = "Sound Stopped";
startStopButton.Content = "Start";
}
}
