public static async Task RecognizeSpeech()
{
var speechConfig = SpeechConfig.FromSubscription("0b3abd1c585b4403a373e6b862099949", "uksouth");
using var recognizer = new SpeechRecognizer(speechConfig);
using var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
using var recgonizer = new SpeechRecognizer(speechConfig, audioConfig);
var result = await recognizer.RecognizeOnceAsync();
if (result.Reason == ResultReason.RecognizedSpeech)
{
if (result.Text == "Red")
{
Console.BackgroundColor = ConsoleColor.Red;
Console.WriteLine($"RECOGNIZED: Text={result.Text}");
}
else
{
if (result.Text == "Blue")
{
Console.BackgroundColor = ConsoleColor.Blue;
Console.WriteLine($"RECOGNIZED: Text={result.Text}");
}
}
}
}
private async Task VerificationEnroll(SpeechConfig config, Dictionary <string, string> profileMapping)
{
using (var client = new VoiceProfileClient(config))
using (var profile = await client.CreateProfileAsync(VoiceProfileType.TextDependentVerification, "en-us"))
{
using (var audioInput = AudioConfig.FromDefaultMicrophoneInput())
{
Console.WriteLine($"Enrolling profile id {profile.Id}.");
// give the profile a human-readable display name
profileMapping.Add(profile.Id, "Your Name");
VoiceProfileEnrollmentResult result = null;
while (result is null || result.RemainingEnrollmentsCount > 0)
{
Console.WriteLine("Speak the passphrase, \"My voice is my passport, verify me.\"");
result = await client.EnrollProfileAsync(profile, audioInput);
Console.WriteLine($"Remaining enrollments needed: {result.RemainingEnrollmentsCount}");
Console.WriteLine("");
}
if (result.Reason == ResultReason.EnrolledVoiceProfile)
{
await SpeakerVerify(config, profile, profileMapping);
}
else if (result.Reason == ResultReason.Canceled)
{
var cancellation = VoiceProfileEnrollmentCancellationDetails.FromResult(result);
Console.WriteLine($"CANCELED {profile.Id}: ErrorCode={cancellation.ErrorCode} ErrorDetails={cancellation.ErrorDetails}");
}
}
}
}
public static async Task KeywordRecognizer()
{
Console.WriteLine("say something ...");
using (var audioInput = AudioConfig.FromDefaultMicrophoneInput())
{
using (var recognizer = new KeywordRecognizer(audioInput))
{
var model = KeywordRecognitionModel.FromFile("YourKeywordModelFilename.");
var result = await recognizer.RecognizeOnceAsync(model).ConfigureAwait(false);
Console.WriteLine($"got result reason as {result.Reason}");
if (result.Reason == ResultReason.RecognizedKeyword)
{
var stream = AudioDataStream.FromResult(result);
await Task.Delay(2000);
stream.DetachInput();
await stream.SaveToWaveFileAsync("AudioFromRecognizedKeyword.wav");
}
else
{
Console.WriteLine($"got result reason as {result.Reason}. You can't get audio when no keyword is recognized.");
}
}
}
}
/// <summary>
/// Create a DialogServiceConnector from the user-provided input
/// </summary>
public void InitDialogServiceConnector()
{
DialogServiceConfig dialogServiceConfig = null;
dialogServiceConfig = BotFrameworkConfig.FromSubscription(SubscriptionTB.Text, RegionTB.Text);
if (dialogServiceConnector != null)
{
dialogServiceConnector.SessionStarted -= DialogServiceConnector_SessionStarted;
dialogServiceConnector.SessionStopped -= DialogServiceConnector_SessionStopped;
dialogServiceConnector.Recognizing -= DialogServiceConnector_Recognizing;
dialogServiceConnector.Recognized -= DialogServiceConnector_Recognized;
dialogServiceConnector.ActivityReceived -= DialogServiceConnector_ActivityReceived;
dialogServiceConnector.Canceled -= DialogServiceConnector_Canceled;
}
var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
dialogServiceConnector = new DialogServiceConnector(dialogServiceConfig, audioConfig);
dialogServiceConnector.SessionStarted += DialogServiceConnector_SessionStarted;
dialogServiceConnector.SessionStopped += DialogServiceConnector_SessionStopped;
dialogServiceConnector.Recognizing += DialogServiceConnector_Recognizing;
dialogServiceConnector.Recognized += DialogServiceConnector_Recognized;
dialogServiceConnector.ActivityReceived += DialogServiceConnector_ActivityReceived;
dialogServiceConnector.Canceled += DialogServiceConnector_Canceled;
SendActivityButton.IsEnabled = true;
StartButton.IsEnabled = true;
}
/// <summary>
/// Uses the provided properties to create a connector from config and register callbacks
/// </summary>
private void CreateDialogServiceConnector()
{
Debug.Log($"CreateDialogServiceConnector enter");
if (dialogServiceConnector == null)
{
if (subscriptionKey == string.Empty || region == string.Empty)
{
Debug.Log($"One or more input fields weren't provided. Check the fields in the Canvas object or in the script source");
throw new InvalidOperationException("DialogServiceConfig creation failed");
}
// Creates an instance of a DialogServiceConfig with your bot connection ID, subscription key, and service region.
// Replace in the editor on the Canvas object OR directly in the code, above in the member declarations
dialogServiceConfig = BotFrameworkConfig.FromSubscription(subscriptionKey, region);
if (dialogServiceConfig == null)
{
Debug.Log($"One or more input fields weren't provided. Check the fields in the Canvas object or in the script source");
throw new InvalidOperationException("DialogServiceConfig creation failed");
}
AudioConfig audioConfig = AudioConfig.FromDefaultMicrophoneInput();
dialogServiceConnector = new DialogServiceConnector(dialogServiceConfig, audioConfig);
dialogServiceConnector.ActivityReceived += DialogServiceConnector_ActivityReceived;
dialogServiceConnector.Canceled += DialogServiceConnector_Canceled;
dialogServiceConnector.Recognized += DialogServiceConnector_Recognized;
}
stateIndicatorString = "DialogServiceConnector created";
ttsAudio = GetComponent <AudioSource>();
Debug.Log($"CreateDialogServiceConnector exit");
}
public async Task <string> CreateRecognitionModelFromMicrophoneAsync(SpeechConfig config)
{
using (var audioInput = AudioConfig.FromDefaultMicrophoneInput())
{
return(await EnrollProfileAsync(config, audioInput, VoiceProfileType.TextIndependentIdentification));
}
}
private async void speechButton_ClickAsync(object sender, RoutedEventArgs e)
{
bool isChecked = (sender as ToggleButton).IsChecked ?? false;
if (isChecked)
{
string region = "westeurope";
string key = "10b3abeb322347b69ae151bb56a618cd";
var speechConfig = SpeechConfig.FromSubscription(key, region);
speechConfig.SpeechRecognitionLanguage = "de-DE";
using (var audioConfig = AudioConfig.FromDefaultMicrophoneInput())
{
using (var recognizer = new SpeechRecognizer(speechConfig, audioConfig))
{
var resultText = await recognizer.RecognizeOnceAsync();
contentRichTextbox.Document.Blocks.Add(new Paragraph(new Run(resultText.Text))); //Add a text to the richtTextBlock
}
}
}
else
{
}
}
private async void OnRecognitionButtonClicked(object sender, EventArgs e)
{
bool locationAccessGranted = await DependencyService.Get <ILocationService>().GetPermissionsAsync();
if (!locationAccessGranted)
{
UpdateUI("Please give location access.");
}
if (_recognizer == null)
{
_recognizer = new KeywordRecognizer(AudioConfig.FromDefaultMicrophoneInput());
}
if (_model == null)
{
var kwsModelDir = DependencyService.Get <IFileSystemService>().GetWakeWordModelPath(kwsModelFile);
_model = KeywordRecognitionModel.FromFile(kwsModelDir);
}
UpdateUI("Say wakeword to start recording speech.");
_result = await _recognizer.RecognizeOnceAsync(_model).ConfigureAwait(false);
var locationResult = await DependencyService.Get <ILocationService>().GetCurrentGPSCoordinatesAsync();
string message = $"Detected keyword at TIME: {DateTime.Now} and LOCATION: {locationResult}";
UpdateUI(message);
// UpdateUI("Got a keyword, now you can keep talking...");
// await DoSpeechRecognition().ConfigureAwait(false);
}
public async Task StartAsync(string fileName = null)
{
var speechConfig = SpeechConfig.FromSubscription(this.settings.SubscriptionKey, this.settings.Region);
speechConfig.SpeechRecognitionLanguage = "de-de";
speechConfig.OutputFormat = OutputFormat.Detailed;
using (var audioInput = fileName == null ? AudioConfig.FromDefaultMicrophoneInput() : AudioConfig.FromWavFileInput(fileName))
{
using (var intentRecognizer = new IntentRecognizer(speechConfig, audioInput))
{
stopRecognition = new TaskCompletionSource <int>();
var model = LanguageUnderstandingModel.FromAppId(this.settings.LuisAppId);
intentRecognizer.AddAllIntents(model);
intentRecognizer.SessionStarted += IntentRecognizer_SessionStarted;
intentRecognizer.Recognized += IntentRecognizer_Recognized;
intentRecognizer.Recognizing += IntentRecognizer_Recognizing;
intentRecognizer.SessionStopped += IntentRecognizer_SessionStopped;
intentRecognizer.SpeechEndDetected += IntentRecognizer_SpeechEndDetected;
intentRecognizer.SpeechStartDetected += IntentRecognizer_SpeechStartDetected;
intentRecognizer.Canceled += IntentRecognizer_Canceled;
await intentRecognizer.StartContinuousRecognitionAsync().ConfigureAwait(false);
Task.WaitAny(stopRecognition.Task);
await intentRecognizer.StopContinuousRecognitionAsync().ConfigureAwait(false);
}
}
}
private static void Initialize()
{
SpeechConfig speechConfig =
SpeechConfig.FromSubscription(s_twitchBotSettings.SpeechKey, s_twitchBotSettings.SpeechRegion);
s_audioConfig = AudioConfig.FromDefaultMicrophoneInput();
s_speechRecognizer = new SpeechRecognizer(speechConfig, s_audioConfig);
s_speechSynthesizer = new SpeechSynthesizer(speechConfig, s_audioConfig);
}
public async Task RecognizeSpeech()
{
var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
var speechConfig = SpeechConfig.FromSubscription(key, "westus2");
// Creates a speech recognizer.
using (var recognizer = new IntentRecognizer(speechConfig, audioConfig))
{
// Hide user secrets later
var model = LanguageUnderstandingModel.FromAppId(Environment.GetEnvironmentVariable("LUIS_APP_ID"));
recognizer.AddAllIntents(model);
var stopRecognition = new TaskCompletionSource <int>();
// Can add logic to exit using voice command, "Thanks see you at the window" etc.
// Subscribe to appropriate events
recognizer.Recognizing += (s, e) =>
{
// Use this to send partial responses
Console.WriteLine($"Partial: {e.Result.Text}");
};
recognizer.Recognized += (s, e) =>
{
var exit = ProcessRecognizedText(s, e);
if (exit)
{
recognizer.StopContinuousRecognitionAsync().Wait(); //ConfigureAwait(false);
}
};
recognizer.SessionStarted += (s, e) =>
{
Console.WriteLine("Session started event.");
};
recognizer.SessionStopped += (s, e) =>
{
Console.WriteLine("Session stopped event.");
stopRecognition.TrySetResult(0);
};
recognizer.Canceled += (s, e) =>
{
Console.WriteLine(e.ErrorDetails);
stopRecognition.TrySetResult(0);
};
// Instantiate new Order object
_order = new Order();
Console.WriteLine("Say something to get started, or \"Exit\" to quit.");
await recognizer.StartContinuousRecognitionAsync().ConfigureAwait(false);
// Need more understanding about this part
Task.WaitAny(new[] { stopRecognition.Task });
}
}
async static Task FromMic(SpeechConfig speechConfig)
{
var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
var recognizer = new SpeechRecognizer(speechConfig, audioConfig);
Console.WriteLine("Speak into your microphone.");
var result = await recognizer.RecognizeOnceAsync();
Debug.Log(result.Text);
}
async static Task FromMic(SpeechConfig speechConfig)
{
using var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
using var recognizer = new SpeechRecognizer(speechConfig, audioConfig);
Console.WriteLine("Speak into your microphone.");
var result = await recognizer.RecognizeOnceAsync();
Console.WriteLine($"RECOGNIZED: Text={result.Text}");
}
public static async Task SpeakerVerify(SpeechConfig config, VoiceProfile profile, Dictionary <string, string> profileMapping)
{
var speakerRecognizer = new SpeakerRecognizer(config, AudioConfig.FromDefaultMicrophoneInput());
var model = SpeakerVerificationModel.FromProfile(profile);
Console.WriteLine("Speak the passphrase to verify: \"My voice is my passport, please verify me.\"");
var result = await speakerRecognizer.RecognizeOnceAsync(model);
Console.WriteLine($"Verified voice profile for speaker {profileMapping[result.ProfileId]}, score is {result.Score}");
}
////////////////////////////////////////////////////////////// LISTENING COMMANDS ////////////////////////////////////////////////////////////////////////////////////
public static async Task RecognizeSpeechAsync()
{
Console.Clear();
Console.WriteLine("Please Say 'Hey Rosita' to begin");
var keywordModel = KeywordRecognitionModel.FromFile("C:\\Users\\Johnny\\Documents\\GitHub\\Rosita\\Rosita\\827f85af-e8cd-44ad-8d48-1963414c3bde.table");
using var audioConfig10 = AudioConfig.FromDefaultMicrophoneInput();
using var keywordRecognizer = new KeywordRecognizer(audioConfig10);
KeywordRecognitionResult keyresult = await keywordRecognizer.RecognizeOnceAsync(keywordModel);
var config =
SpeechConfig.FromSubscription(
"aabb8086039843e7b4339dd4928f2de1",
"eastus");
using var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
using var recognizer = new SpeechRecognizer(config, audioConfig);
Console.WriteLine("Say something...");
var result = await recognizer.RecognizeOnceAsync();
string command = result.Text;
switch (result.Reason)
{
case ResultReason.RecognizedSpeech:
Console.WriteLine($"RECOGNIZED: Text={result.Text}");
break;
case ResultReason.NoMatch:
Console.WriteLine($"NOMATCH: Speech could not be recognized.");
break;
case ResultReason.Canceled:
var cancellation = CancellationDetails.FromResult(result);
Console.WriteLine($"CANCELED: Reason={cancellation.Reason}");
if (cancellation.Reason == CancellationReason.Error)
{
Console.WriteLine($"CANCELED: ErrorCode={cancellation.ErrorCode}");
Console.WriteLine($"CANCELED: ErrorDetails={cancellation.ErrorDetails}");
Console.WriteLine($"CANCELED: Did you update the subscription info?");
}
break;
}
////////////////////////////////////////////////////////////// LISTENING COMMANDS END /////////////////////////////////////////////////////////////////////////
///
///
///
///////////////////////////////////////////////////////////////////// LINK TO KEY PHRASES ////////////////////////////////////////////////////////////////////////////
await Speech.TalkingAsync(command.ToLower());
///////////////////////////////////////////////////////////////////// LINK TO KEY PHRASES END ////////////////////////////////////////////////////////////////////////////
}
async static Task FromMic(SpeechConfig speechConfig)
{
using var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
using var recognizer = new SpeechRecognizer(speechConfig, audioConfig);
Console.WriteLine("Habla al microfono");
var result = await recognizer.RecognizeOnceAsync();
Console.WriteLine($"Esto es lo que reconozco: {result.Text}");
Console.ReadKey();
}
/*
* Main functions
*/
static AudioConfig args_to_audio_config(string[] args)
{
if (get_cmd_option(args, "-i") is string audio_input_file)
{
return(AudioConfig.FromWavFileInput(audio_input_file));
}
else
{
return(AudioConfig.FromDefaultMicrophoneInput());
}
}
/// <summary>
/// Constructs an <see cref="AudioConfig"/> from <see cref="Config"/>.
/// Depending on the available services, this may either use the audio features built into the Speech SDK (such as <see cref="AudioConfig.FromDefaultMicrophoneInput"/>),
/// or it may construct a <see cref="IStreamAudioSource"/> that accesses the requested <see cref="AudioDevice"/> with resampling and noise gates as required.
/// </summary>
/// <returns></returns>
protected AudioConfig GetAudioConfig()
{
var streamSource = GetStreamAudioSource(Config.AudioSource);
if (streamSource != null)
{
//use this stream source and convert to an Azure audio stream
try
{
var azureInput = AudioInputStream.CreatePushStream(AudioStreamFormat.GetWaveFormatPCM(
(uint)streamSource.Format.SampleRate,
(byte)streamSource.Format.BitsPerSample,
(byte)streamSource.Format.ChannelCount));
byte[] bufferOptional = null;
streamSource.DataAvailable += (s, e) =>
{
azureInput.Write(e.Buffer.GetArray(ref bufferOptional), e.Buffer.Count);
};
streamSource.Stopped += (s, e) =>
{
if (e.Cause == StreamAudioSourceStoppedCause.Stopped)
{
//signal end-of-stream to Azure
azureInput.Close();
}
};
this.StreamAudioSource = streamSource;
return(AudioConfig.FromStreamInput(azureInput));
}
catch (Exception ex)
{
Logger.LogError(ex, $"Error while creating an Azure AudioConfig from an IStreamAudioSource. Format: SampleRate={streamSource.Format.SampleRate}, BitsPerSample={streamSource.Format.BitsPerSample}, Channels={streamSource.Format.ChannelCount}");
streamSource.Dispose();
}
}
this.StreamAudioSource = null;
this.StreamAudioNoiseGate = null;
//try and use the built-in audio engine
if (Config.AudioSource is AudioDevice audioDevice)
{
if (audioDevice.UseDefaultAudioInputDevice)
{
return(AudioConfig.FromDefaultMicrophoneInput());
}
}
return(null);
}
protected virtual void MicConfiguration()
{
try
{
var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
_speechRecognizer = new SpeechRecognizer(_speechConfig, audioConfig);
AddEvents();
}
catch (Exception ex)
{
throw ex;
}
}
//Speech Button
private async void SpeechButton_Click(object sender, RoutedEventArgs e)
{
var speechConfig =
SpeechConfig.FromSubscription(SecretsHelper.GetAzureServiceApiKey(), SecretsHelper.GetAzureRegion());
using (var audioConfig = AudioConfig.FromDefaultMicrophoneInput())
using (var recognizer = new SpeechRecognizer(speechConfig, audioConfig))
{
var result = await recognizer.RecognizeOnceAsync();
contentRichTextBox.Document.Blocks.Add(new Paragraph(new Run(result.Text)));
}
}
private AudioConfig GetAudioConfig(InputSourceType inputSource, string wavFilename)
{
switch (inputSource)
{
case InputSourceType.Microphone:
return(AudioConfig.FromDefaultMicrophoneInput());
case InputSourceType.WavFile:
return(AudioConfig.FromWavFileInput(wavFilename));
default:
throw new ArgumentException($"Unhandled InputSourceType: {inputSource}");
}
}
protected override async Task OnMessageActivityAsync(ITurnContext <IMessageActivity> turnContext, CancellationToken cancellationToken)
{
await turnContext.SendActivityAsync(MessageFactory.Text($"Echo: {turnContext.Activity.Text}"), cancellationToken);
var config = SpeechConfig.FromSubscription("----------------------------", "northeurope");
using (var recognizer = new SpeechRecognizer(config, AudioConfig.FromDefaultMicrophoneInput()))
{
await turnContext.SendActivityAsync(MessageFactory.Text($"Echo: Please some words."), cancellationToken);
var result = await recognizer.RecognizeOnceAsync();
await turnContext.SendActivityAsync(MessageFactory.Text($"Echo: {result.Text}"), cancellationToken);
}
}
private async void BtnSpeech_OnClick(object sender, RoutedEventArgs e)
{
string region = "westeurope";
string key = "cdc0886a26494b6ea32cb41cc17165c5";
var speechConfig = SpeechConfig.FromSubscription(key, region);
using (var audioConfig = AudioConfig.FromDefaultMicrophoneInput())
{
using (var recognizer = new SpeechRecognizer(speechConfig, audioConfig))
{
var result = await recognizer.RecognizeOnceAsync();
RichTextContent.Document.Blocks.Add(new Paragraph(new Run(result.Text)));
}
}
}
private async void speechButton_Click(object sender, RoutedEventArgs e)
{
string region = "westus";
string key = "4e1418a74a6a457e83faabc6451fe62d";
var speechConfig = SpeechConfig.FromSubscription(key, region);
using (var audioConfig = AudioConfig.FromDefaultMicrophoneInput())
{
using (var recognizer = new SpeechRecognizer(speechConfig, audioConfig))
{
var result = await recognizer.RecognizeOnceAsync();
contentRichTextBox.Document.Blocks.Add(new Paragraph(new Run(result.Text)));
}
}
}
public static async Task <string> VozATexto()
{
//Creamos las configuraciones necesarias
var speechConfig = SpeechConfig.FromSubscription(SPEECH_SUBSCRIPTION_KEY, SPEECH_REGION);
using var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
//Si queremos reconocer texto en un fichero de audio en lugar de en el micrófono usaremos la línea siguiente
//using var audioConfig = AudioConfig.FromWavFileInput("PathToFile.wav");
//Creamos el cliente
using var cliente = new SpeechRecognizer(speechConfig, "es-ES", audioConfig);
//Realizamos la llamada a la API
SpeechRecognitionResult resultado = await cliente.RecognizeOnceAsync();
//Devolvemos el resultado
return(resultado.Text);
}
async static Task Main(string[] args)
{
const string WAKE_WORD = "hey computer";
var speechConfig = SpeechConfig.FromSubscription("e073d2855d604ddda74ba6518ab2e6b3", "westeurope");
var Intentconfig = SpeechConfig.FromSubscription("9051c66d5ba949ac84e32b01c37eb9b4", "westus");
var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
var model = LanguageUnderstandingModel.FromAppId("7f7a9344-69b6-4582-a01d-19ffa3c9bed8");
var continuousRecognizer = new SpeechRecognizer(speechConfig, audioConfig);
var intentRecognizer = new IntentRecognizer(Intentconfig, audioConfig);
intentRecognizer.AddAllIntents(model);
var synthesizer = new SpeechSynthesizer(speechConfig);
bool _waitingForCommand = false;
continuousRecognizer.Recognized += async(s, e) =>
{
if (!_waitingForCommand)
{
if (e.Result.Reason == ResultReason.RecognizedSpeech)
{
Console.WriteLine($"RECOGNIZED: Text={e.Result.Text}");
if (e.Result.Text.Contains(WAKE_WORD, StringComparison.CurrentCultureIgnoreCase))
{
Console.WriteLine($"RECOGNIZED: {WAKE_WORD}");
_waitingForCommand = true;
await ParseCommand(synthesizer, await awaitCommand(intentRecognizer, synthesizer));
_waitingForCommand = false;
Console.WriteLine("Listening for wake word.");
}
}
}
};
await continuousRecognizer.StartContinuousRecognitionAsync();
Console.Write("Press any key!");
Console.Read();
}
private async void RecognizeKeywordButton_Click(object sender, RoutedEventArgs e)
{
RecognizeKeywordButton.IsEnabled = false;
if (recognizer == null)
{
recognizer = new KeywordRecognizer(AudioConfig.FromDefaultMicrophoneInput());
}
if (model == null)
{
await InitializeKeywordModel();
}
NotifyUser("Say \"Computer\"", NotifyType.StatusMessage);
result = await recognizer.RecognizeOnceAsync(model);
NotifyUser("Got a keyword, now you can keep talking...", NotifyType.StatusMessage);
SaveToFileButton.IsEnabled = true;
}
// 使用麥克風進行語音辨識
public static async Task RecognitionWithMicrophoneAsync()
{
// 建立語音辨識的設定，這裡必須提供 Azure Cognitive Service 的訂閱金鑰和服務區域
var config = SpeechConfig.FromSubscription(YourSubscriptionKey, YourServiceRegion);
// 預設使用 en-us 的美式英文作為辨識語言
config.SpeechRecognitionLanguage = "en-us";
// 建立語音辨識器，並將音訊來源指定為機器預設的麥克風
using (var recognizer = new SpeechRecognizer(config, AudioConfig.FromDefaultMicrophoneInput()))
{
Console.WriteLine("Say something...");
// 開始進行語音辨識，會在辨別出句子結束時，返回語音辨識的結果。
// 會藉由句子說完後，所產生的靜默時間作為辨識依據，或者語音超過 15 秒，也會處理成斷句。
var result = await recognizer.RecognizeOnceAsync().ConfigureAwait(false);
// 輸出語音辨識結果
switch (result.Reason)
{
case ResultReason.RecognizedSpeech:
Console.WriteLine($"RECOGNIZED: {result.Text}");
break;
case ResultReason.NoMatch:
Console.WriteLine($"NOMATCH: Speech could not be recognized.");
break;
case ResultReason.Canceled:
default:
var cancellation = CancellationDetails.FromResult(result);
Console.WriteLine($"CANCELED: Reason={cancellation.Reason}");
if (cancellation.Reason == CancellationReason.Error)
{
Console.WriteLine($"CANCELED: ErrorCode={cancellation.ErrorCode}");
Console.WriteLine($"CANCELED: ErrorDetails={cancellation.ErrorDetails}");
Console.WriteLine($"CANCELED: Did you update the subscription info?");
}
break;
}
}
}
async static Task FromMic(SpeechConfig speechConfig)
{
var checker = true;
while (checker)
{
using var audioConfig = AudioConfig.FromDefaultMicrophoneInput();
using var recognizer = new SpeechRecognizer(speechConfig, audioConfig);
Console.WriteLine("Speak into your microphone.");
var result = await recognizer.RecognizeOnceAsync();
Console.WriteLine($"RECOGNIZED: Text={result.Text}");
if (result.Text == "end." || result.Text == "End.")
{
break;
}
}
}
//
// Create AudioConfig
//
private AudioConfig AudioConfigFromUserConfig()
{
if (this.userConfig.inputFilePath is string inputFilePathValue)
{
if (!this.userConfig.useCompressedAudio)
{
return(Helper.OpenWavFile(inputFilePathValue, AudioProcessingOptions.Create(0)));
}
else
{
var reader = new BinaryReader(File.OpenRead(inputFilePathValue));
var format = AudioStreamFormat.GetCompressedFormat(userConfig.compressedAudioFormat);
var stream = new PullAudioInputStream(new BinaryAudioStreamReader(reader), format);
return(AudioConfig.FromStreamInput(stream));
}
}
else
{
return(AudioConfig.FromDefaultMicrophoneInput());
}
}