ffortunato
commented
4 years ago `using Microsoft.CognitiveServices.Speech; using Microsoft.CognitiveServices.Speech.Intent; using System; using System.Threading.Tasks;
namespace AzureLUIS { class Program { static void Main(string[] args) { RecognizeIntentAsync().Wait(); Console.WriteLine("Please press Enter to continue."); Console.ReadLine();
}
static async Task RecognizeIntentAsync()
{
var config = SpeechConfig.FromSubscription("xxxxxxx", "westeurope");
// Creates an intent recognizer using microphone as audio input.
using (var recognizer = new IntentRecognizer(config))
{
// Creates a Language Understanding model using the app id, and adds specific intents from your model
var model = LanguageUnderstandingModel.FromAppId("xxxxxxx");
recognizer.AddIntent(model, "YourLanguageUnderstandingIntentName1", "id1");
recognizer.AddIntent(model, "YourLanguageUnderstandingIntentName2", "id2");
recognizer.AddIntent(model, "YourLanguageUnderstandingIntentName3", "any-IntentId-here");
// The TaskCompletionSource to stop recognition.
var stopRecognition = new TaskCompletionSource<int>();
// Starts intent recognition, and returns after a single utterance is recognized. The end of a
// single utterance is determined by listening for silence at the end or until a maximum of 15
// seconds of audio is processed. The task returns the recognition text as result.
// Note: Since RecognizeOnceAsync() returns only a single utterance, it is suitable only for single
// shot recognition like command or query.
// For long-running multi-utterance recognition, use StartContinuousRecognitionAsync() instead.
await recognizer.StartContinuousRecognitionAsync().ConfigureAwait(false);
// Subscribes to events.
recognizer.Recognizing += (s, e) =>
{
Console.WriteLine($"RECOGNIZING: Text={e.Result.Text}");
};
recognizer.Recognized += (s, e) =>
{
if (e.Result.Reason == ResultReason.RecognizedIntent)
{
Console.WriteLine($"RECOGNIZED: Text={e.Result.Text}");
Console.WriteLine($" Intent Id: {e.Result.IntentId}.");
Console.WriteLine($" Language Understanding JSON: {e.Result.Properties.GetProperty(PropertyId.LanguageUnderstandingServiceResponse_JsonResult)}.");
}
else if (e.Result.Reason == ResultReason.RecognizedSpeech)
{
Console.WriteLine($"RECOGNIZED: Text={e.Result.Text}");
Console.WriteLine($" Intent not recognized.");
}
else if (e.Result.Reason == ResultReason.NoMatch)
{
Console.WriteLine($"NOMATCH: Speech could not be recognized.");
}
};
recognizer.Canceled += (s, e) =>
{
Console.WriteLine($"CANCELED: Reason={e.Reason}");
if (e.Reason == CancellationReason.Error)
{
Console.WriteLine($"CANCELED: ErrorCode={e.ErrorCode}");
Console.WriteLine($"CANCELED: ErrorDetails={e.ErrorDetails}");
Console.WriteLine($"CANCELED: Did you update the subscription info?");
}
// stopRecognition.TrySetResult(0);
};
recognizer.SessionStarted += (s, e) =>
{
Console.WriteLine("\n Session started event.");
};
recognizer.SessionStopped += (s, e) =>
{
Console.WriteLine("\n Session stopped event.");
Console.WriteLine("\nStop recognition.");
// stopRecognition.TrySetResult(0);
};
// Waits for completion.
// Use Task.WaitAny to keep the task rooted.
Task.WaitAny(new[] { stopRecognition.Task });
// Stops recognition.
await recognizer.StopContinuousRecognitionAsync().ConfigureAwait(false);
}
}
}} `
pankopon
json0755
tianyi14
Describe the bug Hello, i've been trying to implement the samples from LUIS tutorials. What i'm trying to accomplish is to make a console application that will listen to they microphone and recognize intents. When any intent is triggered, for now, i just want to print it in the screen (basically, the same that the tutorial is doing).
I'm trying to use the ContinuousRecognition from the microphone. The issue is that after some time i will get this error: CANCELED: Reason=Error CANCELED: ErrorCode=ServiceTimeout CANCELED: ErrorDetails=Due to service inactivity the client buffer size exceeded. Resetting the buffer. SessionId: 8e431826b5c4434fb80d9f64a865bf94 CANCELED: Did you update the subscription info?
When this error appears the app will be responsive again and wait for some speech until the same error occurs.
To Reproduce Steps to reproduce the behavior: Explained above. Please let me know if i should post my code.
Expected behavior I was expecting that the program would be constantly listening and printing messages without errors.
Version of the Cognitive Services Speech SDK 1.8.0
Platform, Operating System, and Programming Language
Additional context CANCELED: Reason=Error CANCELED: ErrorCode=ServiceTimeout CANCELED: ErrorDetails=Due to service inactivity the client buffer size exceeded. Resetting the buffer. SessionId: 8e431826b5c4434fb80d9f64a865bf94 CANCELED: Did you update the subscription info?