/// <summary>
/// Reads through input file and prints the inference result returned by Rhino.
/// </summary>
/// <param name="inputAudioPath">Required argument. Absolute path to input audio file.</param>
/// <param name="contextPath">Required argument. Absolute path to the Rhino context file.</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>
public static void RunDemo(string inputAudioPath, string contextPath, string modelPath, float sensitivity)
{
// init rhino speech-to-intent engine
using Rhino rhino = Rhino.Create(contextPath, modelPath, sensitivity);
// open and validate wav file
using BinaryReader reader = new BinaryReader(File.Open(inputAudioPath, FileMode.Open));
ValidateWavFile(reader, rhino.SampleRate, 16, out short numChannels);
// read audio and send frames to rhino
short[] rhinoFrame = new short[rhino.FrameLength];
int frameIndex = 0;
while (reader.BaseStream.Position != reader.BaseStream.Length)
{
rhinoFrame[frameIndex++] = reader.ReadInt16();
if (frameIndex == rhinoFrame.Length)
{
bool isFinalized = rhino.Process(rhinoFrame);
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.");
}
return;
}
frameIndex = 0;
}
// skip right channel
if (numChannels == 2)
{
reader.ReadInt16();
}
}
Console.WriteLine("Reached end of audio file before Rhino returned an inference.");
}
public void TestOutOfContextEs()
{
string language = "es";
using Rhino rhino = Rhino.Create(
ACCESS_KEY,
GetContextPath(language, "iluminación_inteligente"),
GetModelPath(language));
RunTestCase(
rhino,
"test_out_of_context_es.wav",
false
);
}
public void TestOutOfContextFr()
{
string language = "fr";
using Rhino rhino = Rhino.Create(
ACCESS_KEY,
GetContextPath(language, "éclairage_intelligent"),
GetModelPath(language));
RunTestCase(
rhino,
"test_out_of_context_fr.wav",
false
);
}
public void TestOutOfContextDe()
{
string language = "de";
using Rhino rhino = Rhino.Create(
ACCESS_KEY,
GetContextPath(language, "beleuchtung"),
GetModelPath(language));
RunTestCase(
rhino,
"test_out_of_context_de.wav",
false
);
}
public Unit GetDefender()
{
//var unit = GreyHunters.Create(true, false, true, 4, 1, 0);
//var unit = LandSpeeders.Create(LandSpeederTypes.Default, LandSpeederWeaponTypes.AssaultCannon, 3);
//var unit = Intercessors.Create(true, 4);
//var unit = WarBikers.Create(true, 5);
//var unit = Boyz.Create(false, 27, 0, 3);
//var unit = ArmigerWarglaive.Create(ArmigerWarglaiveTypes.Default);
//var unit = KnightPreceptor.Create(KnightPreceptorTypes.Default);
//var unit = Gunwagon.Create(GunwagonTypes.ZzapGun, 4);
//var unit = ArmigerHelverin.Create(ArmigerHelverinTypes.Default);
var unit = Rhino.Create();
//var unit = Razorback.Create(RazorBackTypes.TwinHeavyBolter, true, true);
return(unit);
}
public void TestWithinContextFr()
{
string language = "fr";
using Rhino rhino = Rhino.Create(
ACCESS_KEY,
GetContextPath(language, "éclairage_intelligent"),
GetModelPath(language));
Dictionary <string, string> expectedSlots = new Dictionary <string, string>()
{
{ "color", "violet" }
};
RunTestCase(
rhino,
"test_within_context_fr.wav",
true,
"changeColor",
expectedSlots
);
}
public void TestWithinContextDe()
{
string language = "de";
using Rhino rhino = Rhino.Create(
ACCESS_KEY,
GetContextPath(language, "beleuchtung"),
GetModelPath(language));
Dictionary <string, string> expectedSlots = new Dictionary <string, string>()
{
{ "state", "aus" }
};
RunTestCase(
rhino,
"test_within_context_de.wav",
true,
"changeState",
expectedSlots
);
}
public void TestWithinContextEs()
{
string language = "es";
using Rhino rhino = Rhino.Create(
ACCESS_KEY,
GetContextPath(language, "iluminación_inteligente"),
GetModelPath(language));
Dictionary <string, string> expectedSlots = new Dictionary <string, string>()
{
{ "location", "habitación" },
{ "color", "rosado" }
};
RunTestCase(
rhino,
"test_within_context_es.wav",
true,
"changeColor",
expectedSlots
);
}
/// <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();
}
}
private Rhino SetUpClass() => Rhino.Create(Path.Combine(_relativeDir, $"resources/contexts/{_env}/coffee_maker_{_env}.rhn"));
private Rhino InitDefaultRhino() => Rhino.Create(ACCESS_KEY, Path.Combine(_relativeDir, $"resources/contexts/{_env}/coffee_maker_{_env}.rhn"));
/// <summary>
/// Creates an input audio stream, instantiates an instance of Rhino object, and infers the intent from spoken commands.
/// </summary>
/// <param name="accessKey">AccessKey obtained from Picovoice Console (https://console.picovoice.ai/).</param>
/// <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="requireEndpoint">
/// If set to `true`, Rhino requires an endpoint (chunk of silence) before finishing inference.
/// </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 accessKey,
string contextPath,
string modelPath,
float sensitivity,
bool requireEndpoint,
int audioDeviceIndex,
string outputPath = null)
{
Rhino rhino = null;
BinaryWriter outputFileWriter = null;
int totalSamplesWritten = 0;
// init rhino speech-to-intent engine
rhino = Rhino.Create(
accessKey,
contextPath,
modelPath,
sensitivity,
requireEndpoint);
// 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);
}
Console.CancelKeyPress += (s, o) =>
{
Console.WriteLine("Stopping...");
if (outputFileWriter != null)
{
// write size to header and clean up
WriteWavHeader(outputFileWriter, 1, 16, 16000, totalSamplesWritten);
outputFileWriter.Flush();
outputFileWriter.Dispose();
}
rhino?.Dispose();
};
// create and start recording
using (PvRecorder recorder = PvRecorder.Create(audioDeviceIndex, rhino.FrameLength))
{
recorder.Start();
Console.WriteLine(rhino.ContextInfo);
Console.WriteLine($"\nUsing device: {recorder.SelectedDevice}");
Console.WriteLine("Listening...\n");
while (true)
{
short[] pcm = recorder.Read();
bool isFinalized = rhino.Process(pcm);
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 pcm)
{
outputFileWriter.Write(sample);
}
totalSamplesWritten += pcm.Length;
}
Thread.Yield();
}
}
}
