Struggling with Azure AI-102 exam questions about multilingual speech translation? Learn how to use AutoDetectSourceLanguageConfig in Azure Speech SDK for real-time language-agnostic translation solutions. Discover best practices for implementing automatic source language detection in global conferencing applications – essential for AI Engineer certification success.
Table of Contents
Question
You are an Azure AI developer for Nutex Inc. You are developing a global conferencing application that allows participants from different countries to communicate seamlessly. The application needs to support real-time speech translation across multiple languages without requiring the users to specify the source language in advance. The goal is to detect the spoken language automatically and then translate the speech into one or more target languages.
You decide to use Azure AI Speech to implement this functionality. You are working with the Speech SDK in C# to configure the translation service to handle multiple languages without predefined source language candidates.
Which object should you use in the application code to let the Azure AI Speech service know that you want to use multilingual speech translation without the need to specify the source language?
A. AutoDetectSourceLanguageConfig
B. SpeechTranslationConfig
C. AddTargetLanguage
D. TranslationRecognizer
E. SpeechRecognitionLanguage
Answer
A. AutoDetectSourceLanguageConfig
Explanation
You would use the AutoDetectSourceLanguageConfig object in the application code to let the Azure AI Speech service know that you want to use multilingual speech translation without the need to specify the source language. AutoDetectSourceLanguageConfig is the specific configuration object designed to enable automatic detection of the source language in the Azure AI Speech service. By using this configuration, Speech can identify the spoken language on the fly without requiring the user to specify it beforehand. This is particularly useful in multilingual applications where the input language may vary and cannot be pre-determined. Example code for using the object is as follows:
var v2EndpointInString = String.Format("wss://{0}.stt.speech.microsoft.com/speech/universal/v2", "YourServiceRegion");
var v2EndpointUrl = new Uri(v2EndpointInString);
var speechTranslationConfig = SpeechTranslationConfig.FromEndpoint(v2EndpointUrl, "YourSubscriptionKey");
AutoDetectSourceLanguageConfig autoDetectSourceLanguageConfig = AutoDetectSourceLanguageConfig.fromOpenRange();
var translationRecognizer = new TranslationRecognizer(speechTranslationConfig, autoDetectSourceLanguageConfig, audioConfig);
You would not use the SpeechTranslationConfig object in the given scenario. SpeechTranslationConfig is the primary configuration class used to set up speech translation parameters such as subscription keys, service regions, source languages, and target languages. This object is essential for configuring the overall translation settings. However, it does not specifically enable or handle the automatic detection of the source language.
You would not use the SpeechRecognitionLanguage object in the given scenario. SpeechRecognitionLanguage is a property used to set the specific language that the speech recognizer should expect when processing input. It defines the language in which the spoken words are recognized and transcribed. While setting this property is crucial for accurate speech recognition, it does not support the automatic detection of multiple source languages. Instead, it requires the developer to specify the language in advance, which contradicts the requirement for multilingual translation without pre-defined source languages.
You would not use the AddTargetLanguage object in the given scenario. AddTargetLanguage is a method used with SpeechTranslationConfig to specify one or more target languages into which the recognized speech should be translated. This method allows developers to define the desired output languages for translation but does not influence how the source language is detected or handled.
You would not use the TranslationRecognizer object in the given scenario. TranslationRecognizer is a class provided by the Azure Speech SDK that combines speech recognition and translation functionalities. It is used to perform real-time speech translation by recognizing spoken language and translating it into specified target languages.
Microsoft Azure AI Engineer Associate AI-102 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Engineer Associate AI-102 exam and earn Microsoft Azure AI Engineer Associate AI-102 certification.