public void TestSingleKeywordFr()
{
string language = "fr";
List <string> keywords = new List <string>()
{
"mon chouchou"
};
porcupine = Porcupine.FromKeywordPaths(
ACCESS_KEY,
GetKeywordPaths(language, keywords),
GetModelPath(language)
);
RunTestCase(
"mon_chouchou.wav",
new List <int>()
{
0
});
}
public void TestSingleKeywordEs()
{
string language = "es";
List <string> keywords = new List <string>()
{
"manzana"
};
porcupine = Porcupine.FromKeywordPaths(
ACCESS_KEY,
GetKeywordPaths(language, keywords),
GetModelPath(language)
);
RunTestCase(
"manzana.wav",
new List <int>()
{
0
});
}
public void TestSingleKeywordDe()
{
string language = "de";
List <string> keywords = new List <string>()
{
"heuschrecke"
};
porcupine = Porcupine.FromKeywordPaths(
ACCESS_KEY,
GetKeywordPaths(language, keywords),
GetModelPath(language)
);
RunTestCase(
"heuschrecke.wav",
new List <int>()
{
0
});
}
public void TestWithNonAsciiModelName()
{
string language = "es";
List <string> keywords = new List <string>()
{
"murciélago",
};
porcupine = Porcupine.FromKeywordPaths(
ACCESS_KEY,
GetKeywordPaths(language, keywords),
GetModelPath(language)
);
RunTestCase(
"murciélago.wav",
new List <int>()
{
0, 0
});
}
public void TestMultipleKeywordFr()
{
string language = "fr";
List <string> keywords = new List <string>()
{
"framboise",
"mon chouchou",
"parapluie"
};
porcupine = Porcupine.FromKeywordPaths(
ACCESS_KEY,
GetKeywordPaths(language, keywords),
GetModelPath(language)
);
RunTestCase(
"multiple_keywords_fr.wav",
new List <int>()
{
0, 1, 0, 2
});
}
public void TestMultipleKeywordEs()
{
string language = "es";
List <string> keywords = new List <string>()
{
"emparedado",
"leopardo",
"manzana"
};
porcupine = Porcupine.FromKeywordPaths(
ACCESS_KEY,
GetKeywordPaths(language, keywords),
GetModelPath(language)
);
RunTestCase(
"multiple_keywords_es.wav",
new List <int>()
{
0, 1, 2
});
}
public void TestMultipleKeywordDe()
{
string language = "de";
List <string> keywords = new List <string>()
{
"heuschrecke",
"ananas",
"leguan",
"stachelschwein"
};
porcupine = Porcupine.FromKeywordPaths(
ACCESS_KEY,
GetKeywordPaths(language, keywords),
GetModelPath(language)
);
RunTestCase(
"multiple_keywords_de.wav",
new List <int>()
{
1, 0, 2, 3
});
}
/// <summary>
/// Reads through input file and, upon detecting the specified wake word(s), prints the detection timecode and the wake word.
/// </summary>
/// <param name="inputAudioPath">Required argument. Absolute path to input audio file.</param>
/// <param name="accessKey">AccessKey obtained from Picovoice Console (https://console.picovoice.ai/).</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="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>
public static void RunDemo(
string inputAudioPath,
string accessKey,
string modelPath,
List <string> keywordPaths,
List <string> keywords,
List <float> sensitivities)
{
Porcupine porcupine = null;
try
{
// init porcupine wake word engine
porcupine = Porcupine.FromKeywordPaths(
accessKey,
keywordPaths,
modelPath,
sensitivities);
// get keyword names for labeling detection results
List <string> keywordNames = keywordPaths.Select(k => Path.GetFileNameWithoutExtension(k).Split("_")[0]).ToList();
using BinaryReader reader = new BinaryReader(File.Open(inputAudioPath, FileMode.Open));
ValidateWavFile(reader, porcupine.SampleRate, 16, out short numChannels);
// read audio and send frames to porcupine
short[] porcupineFrame = new short[porcupine.FrameLength];
int frameIndex = 0;
long totalSamplesRead = 0;
Stopwatch stopWatch = new Stopwatch();
stopWatch.Start();
while (reader.BaseStream.Position != reader.BaseStream.Length)
{
totalSamplesRead++;
porcupineFrame[frameIndex++] = reader.ReadInt16();
if (frameIndex == porcupineFrame.Length)
{
int result = porcupine.Process(porcupineFrame);
if (result >= 0)
{
Console.WriteLine($"Detected {keywords[result]} at " +
$"{Math.Round(totalSamplesRead / (double)porcupine.SampleRate, 2)} sec");
}
frameIndex = 0;
}
// skip right channel
if (numChannels == 2)
{
reader.ReadInt16();
}
}
stopWatch.Stop();
double audioLen = Math.Round(totalSamplesRead / (double)porcupine.SampleRate, 2);
double realtimeFactor = Math.Round(audioLen / stopWatch.Elapsed.TotalSeconds, 2);
Console.WriteLine($"Realtime factor: {realtimeFactor}x");
}
finally
{
porcupine?.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="accessKey">AccessKey obtained from Picovoice Console (https://console.picovoice.ai/).</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="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="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 modelPath,
List <string> keywordPaths,
List <float> sensitivities,
int audioDeviceIndex,
string outputPath = null)
{
Porcupine porcupine = null;
BinaryWriter outputFileWriter = null;
int totalSamplesWritten = 0;
// init porcupine wake word engine
porcupine = Porcupine.FromKeywordPaths(accessKey, keywordPaths, modelPath, sensitivities);
// get keyword names for labeling detection results
List <string> keywordNames = 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);
}
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();
}
porcupine?.Dispose();
};
// create and start recording
using (PvRecorder recorder = PvRecorder.Create(deviceIndex: audioDeviceIndex, frameLength: porcupine.FrameLength))
{
Console.WriteLine($"Using device: {recorder.SelectedDevice}");
Console.Write($"Listening for [{string.Join(' ', keywordNames.Select(k => $"'{k}'"))}]...\n");
recorder.Start();
while (true)
{
short[] pcm = recorder.Read();
int result = porcupine.Process(pcm);
if (result >= 0)
{
Console.WriteLine($"[{DateTime.Now.ToLongTimeString()}] Detected '{keywordNames[result]}'");
}
if (outputFileWriter != null)
{
foreach (short sample in pcm)
{
outputFileWriter.Write(sample);
}
totalSamplesWritten += pcm.Length;
}
Thread.Yield();
}
}
}
