static void RunGame()
{
// init picovoice platform
string keywordPath = $"pico_chess_{_platform}.ppn";
string contextPath = $"chess_{_platform}.rhn";
using Picovoice picovoice = new Picovoice(keywordPath, WakeWordCallback, contextPath, InferenceCallback);
DrawBoard("\n");
// create and start recording
short[] recordingBuffer = new short[picovoice.FrameLength];
ALCaptureDevice captureDevice = ALC.CaptureOpenDevice(null, picovoice.SampleRate, ALFormat.Mono16, picovoice.FrameLength * 2);
{
ALC.CaptureStart(captureDevice);
while (!_quitGame)
{
int samplesAvailable = ALC.GetAvailableSamples(captureDevice);
if (samplesAvailable > picovoice.FrameLength)
{
ALC.CaptureSamples(captureDevice, ref recordingBuffer[0], picovoice.FrameLength);
picovoice.Process(recordingBuffer);
}
Thread.Yield();
}
// stop and clean up resources
Console.WriteLine("Bye!");
ALC.CaptureStop(captureDevice);
ALC.CaptureCloseDevice(captureDevice);
}
}
internal void PlatformStop()
{
if (State == MicrophoneState.Started)
{
ALC.CaptureStop(_captureDevice);
CheckALCError("Failed to stop capture.");
Update(); // to ensure that BufferReady doesn't get invoked after Stop()
ALC.CaptureCloseDevice(_captureDevice);
CheckALCError("Failed to close capture device.");
_captureDevice = IntPtr.Zero;
}
State = MicrophoneState.Stopped;
}
private void DoRecording()
{
int sampleRate = 44100;
using MemoryStream stream = new MemoryStream();
using BinaryWriter writer = new BinaryWriter(stream);
short[] recording = new short[1024];
int numSamples = 0;
Thread.Sleep(200);
ALCaptureDevice captureDevice = ALC.CaptureOpenDevice(null, sampleRate, ALFormat.Mono16, 1024);
{
ALC.CaptureStart(captureDevice);
while (_record)
{
int current = 0;
while (current < recording.Length)
{
int samplesAvailable = ALC.GetAvailableSamples(captureDevice);
if (samplesAvailable > 512)
{
int samplesToRead = Math.Min(samplesAvailable, recording.Length - current);
ALC.CaptureSamples(captureDevice, ref recording[current], samplesToRead);
current += samplesToRead;
}
Thread.Yield();
}
byte[] result = new byte[current * sizeof(short)];
Buffer.BlockCopy(recording, 0, result, 0, result.Length);
writer.Write(result);
numSamples += current;
}
ALC.CaptureStop(captureDevice);
ALC.CaptureCloseDevice(captureDevice);
}
writer.Flush();
stream.Flush();
WriteDataToFile(stream, numSamples, sampleRate);
}
/// <summary>
/// Creates an input audio stream, instantiates an instance of Rhino object, and infers the intent from spoken commands.
/// </summary>
/// <param name="contextPath">
/// Absolute path to file containing context model (file with `.rhn` extension). A context represents the set of
/// expressions(spoken commands), intents, and intent arguments(slots) within a domain of interest.
/// </param>
/// <param name="modelPath">Absolute path to the file containing model parameters. If not set it will be set to the default location.</param>
/// <param name="sensitivity">
/// Inference sensitivity. It should be a number within [0, 1]. A higher sensitivity value results in
/// fewer misses at the cost of (potentially) increasing the erroneous inference rate. If not set, the default value of 0.5 will be used.
/// </param>
/// <param name="audioDeviceIndex">Optional argument. If provided, audio is recorded from this input device. Otherwise, the default audio input device is used.</param>
/// <param name="outputPath">Optional argument. If provided, recorded audio will be stored in this location at the end of the run.</param>
public static void RunDemo(string contextPath, string modelPath, float sensitivity, int?audioDeviceIndex = null, string outputPath = null)
{
Rhino rhino = null;
BinaryWriter outputFileWriter = null;
int totalSamplesWritten = 0;
try
{
// init rhino speech-to-intent engine
rhino = Rhino.Create(contextPath, modelPath, sensitivity);
// open stream to output file
if (!string.IsNullOrWhiteSpace(outputPath))
{
outputFileWriter = new BinaryWriter(new FileStream(outputPath, FileMode.OpenOrCreate, FileAccess.Write));
WriteWavHeader(outputFileWriter, 1, 16, 16000, 0);
}
// choose audio device
string deviceName = null;
if (audioDeviceIndex != null)
{
List <string> captureDeviceList = ALC.GetStringList(GetEnumerationStringList.CaptureDeviceSpecifier).ToList();
if (captureDeviceList != null && audioDeviceIndex.Value < captureDeviceList.Count)
{
deviceName = captureDeviceList[audioDeviceIndex.Value];
}
else
{
throw new ArgumentException("No input device found with the specified index. Use --show_audio_devices to show" +
"available inputs", "--audio_device_index");
}
}
Console.WriteLine(rhino.ContextInfo);
Console.WriteLine("Listening...\n");
// create and start recording
short[] recordingBuffer = new short[rhino.FrameLength];
ALCaptureDevice captureDevice = ALC.CaptureOpenDevice(deviceName, 16000, ALFormat.Mono16, rhino.FrameLength * 2);
{
ALC.CaptureStart(captureDevice);
while (!Console.KeyAvailable)
{
int samplesAvailable = ALC.GetAvailableSamples(captureDevice);
if (samplesAvailable > rhino.FrameLength)
{
ALC.CaptureSamples(captureDevice, ref recordingBuffer[0], rhino.FrameLength);
bool isFinalized = rhino.Process(recordingBuffer);
if (isFinalized)
{
Inference inference = rhino.GetInference();
if (inference.IsUnderstood)
{
Console.WriteLine("{");
Console.WriteLine($" intent : '{inference.Intent}'");
Console.WriteLine(" slots : {");
foreach (KeyValuePair <string, string> slot in inference.Slots)
{
Console.WriteLine($" {slot.Key} : '{slot.Value}'");
}
Console.WriteLine(" }");
Console.WriteLine("}");
}
else
{
Console.WriteLine("Didn't understand the command.");
}
}
if (outputFileWriter != null)
{
foreach (short sample in recordingBuffer)
{
outputFileWriter.Write(sample);
}
totalSamplesWritten += recordingBuffer.Length;
}
}
Thread.Yield();
}
// stop and clean up resources
Console.WriteLine("Stopping...");
ALC.CaptureStop(captureDevice);
ALC.CaptureCloseDevice(captureDevice);
}
}
finally
{
if (outputFileWriter != null)
{
// write size to header and clean up
WriteWavHeader(outputFileWriter, 1, 16, 16000, totalSamplesWritten);
outputFileWriter.Flush();
outputFileWriter.Dispose();
}
rhino?.Dispose();
}
}
/// <summary>
/// Creates an input audio stream, instantiates an instance of Porcupine object, and monitors the audio stream for
/// occurrencec of the wake word(s). It prints the time of detection for each occurrence and the wake word.
/// </summary>
/// <param name="modelPath">Absolute path to the file containing model parameters. If not set it will be set to the default location.</param>
/// <param name="keywordPaths">Absolute paths to keyword model files. If not set it will be populated from `keywords` argument.</param>
/// <param name="keywordPaths">Absolute paths to keyword model files. If not set it will be populated from `keywords` argument.</param>
/// <param name="sensitivities">
/// Sensitivities for detecting keywords. Each value should be a number within [0, 1]. A higher sensitivity results in fewer
/// misses at the cost of increasing the false alarm rate. If not set 0.5 will be used.
/// </param>
/// <param name="keywords">
/// List of keywords (phrases) for detection. The list of available (default) keywords can be retrieved
/// using `Porcupine.KEYWORDS`. If `keyword_paths` is set then this argument will be ignored.
/// </param>
/// <param name="audioDeviceIndex">Optional argument. If provided, audio is recorded from this input device. Otherwise, the default audio input device is used.</param>
/// <param name="outputPath">Optional argument. If provided, recorded audio will be stored in this location at the end of the run.</param>
public static void RunDemo(string modelPath, List <string> keywordPaths, List <string> keywords, List <float> sensitivities,
int?audioDeviceIndex = null, string outputPath = null)
{
Porcupine porcupine = null;
BinaryWriter outputFileWriter = null;
int totalSamplesWritten = 0;
try
{
// init porcupine wake word engine
porcupine = Porcupine.Create(modelPath, keywordPaths, keywords, sensitivities);
// get keyword names for labeling detection results
if (keywords == null)
{
keywords = keywordPaths.Select(k => Path.GetFileNameWithoutExtension(k).Split("_")[0]).ToList();
}
// open stream to output file
if (!string.IsNullOrWhiteSpace(outputPath))
{
outputFileWriter = new BinaryWriter(new FileStream(outputPath, FileMode.OpenOrCreate, FileAccess.Write));
WriteWavHeader(outputFileWriter, 1, 16, 16000, 0);
}
// choose audio device
string deviceName = null;
if (audioDeviceIndex != null)
{
List <string> captureDeviceList = ALC.GetStringList(GetEnumerationStringList.CaptureDeviceSpecifier).ToList();
if (captureDeviceList != null && audioDeviceIndex.Value < captureDeviceList.Count)
{
deviceName = captureDeviceList[audioDeviceIndex.Value];
}
else
{
throw new ArgumentException("No input device found with the specified index. Use --show_audio_devices to show" +
"available inputs", "--audio_device_index");
}
}
Console.Write("Listening for {");
for (int i = 0; i < keywords.Count; i++)
{
Console.Write($" {keywords[i]}({sensitivities[i]})");
}
Console.Write(" }\n");
// create and start recording
short[] recordingBuffer = new short[porcupine.FrameLength];
ALCaptureDevice captureDevice = ALC.CaptureOpenDevice(deviceName, 16000, ALFormat.Mono16, porcupine.FrameLength * 2);
{
ALC.CaptureStart(captureDevice);
while (!Console.KeyAvailable)
{
int samplesAvailable = ALC.GetAvailableSamples(captureDevice);
if (samplesAvailable > porcupine.FrameLength)
{
ALC.CaptureSamples(captureDevice, ref recordingBuffer[0], porcupine.FrameLength);
int result = porcupine.Process(recordingBuffer);
if (result >= 0)
{
Console.WriteLine($"[{DateTime.Now.ToLongTimeString()}] Detected '{keywords[result]}'");
}
if (outputFileWriter != null)
{
foreach (short sample in recordingBuffer)
{
outputFileWriter.Write(sample);
}
totalSamplesWritten += recordingBuffer.Length;
}
}
Thread.Yield();
}
// stop and clean up resources
Console.WriteLine("Stopping...");
ALC.CaptureStop(captureDevice);
ALC.CaptureCloseDevice(captureDevice);
}
}
finally
{
if (outputFileWriter != null)
{
// write size to header and clean up
WriteWavHeader(outputFileWriter, 1, 16, 16000, totalSamplesWritten);
outputFileWriter.Flush();
outputFileWriter.Dispose();
}
porcupine?.Dispose();
}
}
