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Exam AI-102 topic 1 question 23 discussion

Actual exam question from Microsoft's AI-102
Question #: 23
Topic #: 1
[All AI-102 Questions]

DRAG DROP -
You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:

Show Suggested Answer Hide Answer
Suggested Answer:
Box 1: Text Analytics -
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
Incorrect Answers:
Speaker Recognition which accurately verifies and identifies speakers by their unique voice characteristics.

Box 2: Translator -
Translator is a cloud-based neural machine translation service that is part of the Azure Cognitive Services family of REST APIs. Translator can be used with any operating system and powers many Microsoft products and services used by thousands of businesses worldwide to perform language translation and other language-related operations.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview
by Khiem at May 23, 2022, 9:08 a.m.

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Khiem
Highly Voted 2 years, 7 months ago
It should be: - Speech to Text with AutoDetectSourceLanguageConfig. It can't be Text Analytics because the input is callers' voice. - Text to Speech: the output is voice.
upvoted 85 times
hannah380099
1 day, 15 hours ago
the Azure Speech to Text service does support language detection, which can be used to identify the language being spoken in an audio source. This feature is part of the Speech service and can be used in conjunction with the Translator service for tasks like speech translation1. So, you can indeed use Speech to Text for detecting the language and then use Translator for translating the detected language if needed.
upvoted 1 times
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Alan_CA
1 month, 2 weeks ago
I agree https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-identification
upvoted 1 times
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Toby86
6 months ago
private static async Task Respond(SpeechRecognitionResult result, SpeechConfig speechConfig, Random random) { if (result.Reason.Equals(ResultReason.RecognizedSpeech)) { var client = new TextAnalyticsClient(languageDetectorEndpoint, credentials); DetectedLanguage detectedLanguage = client.DetectLanguage(result.Text);
upvoted 1 times
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PeteColag
7 months, 3 weeks ago
I agree with your answer. What is missing in this question is an explanation of how the response text (to feed the text to speech) is being generated. I am assuming this would be based on LUIS or CLU?
upvoted 1 times
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Eltooth
Highly Voted 2 years, 6 months ago
Speech-to-Text : https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-to-text Text-to-Speech : https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/text-to-speech Both support common languages, including French. https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/language-support?tabs=speechtotext
upvoted 13 times
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vivekgoel15
Most Recent 2 months, 1 week ago
1. Speech to Text 2. Text to Speech
upvoted 2 times
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SAMBIT
6 months, 3 weeks ago
https://learn.microsoft.com/en-us/azure/synapse-analytics/machine-learning/tutorial-text-analytics-use-mmlspark
upvoted 1 times
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HaraTadahisa
6 months, 3 weeks ago
1. Speech to Text 2. Text to Speech
upvoted 1 times
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reiwanotora
7 months, 1 week ago
1. Speech to Text 2. Text to Speech
upvoted 1 times
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anto69
7 months, 2 weeks ago
ChatGPT: speech to text + text to speech
upvoted 1 times
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Tempeck
7 months, 2 weeks ago
The answer should be Text Analytics and TTS.
upvoted 1 times
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nanaw770
7 months, 3 weeks ago
1. Speech to Text 2. Test to Speech From Takedajuku perspective, if you study for 4 days and spend 2 days reviewing, you will have a better chance of passing the exam.
upvoted 1 times
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varinder82
9 months, 3 weeks ago
Final Answer: 1. Speech to Text 2. Text to Speech
upvoted 3 times
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dacchione
10 months, 1 week ago
Language identification (LID) use cases include: Speech to text recognition when you need to identify the language in an audio source and then transcribe it to text. Speech translation when you need to identify the language in an audio source and then translate it to another language. https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-identification?tabs=once&pivots=programming-language-python
upvoted 4 times
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Mehe323
10 months, 2 weeks ago
People, read the descriptions, these are describing only parts of the process, not the whole process. 1) DETECT incoming language has got not to do with speech to text, but with text analytics. Yes, speech to text is a part of the whole process but this services TRANSCRIBES and does not do language detection. 2) Respond to caller's language should be Text to speech
upvoted 3 times
Mehe323
9 months, 2 weeks ago
IGNORE my comment! Speech to text also does language detection: https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-identification?tabs=once&pivots=programming-language-csharp
upvoted 4 times
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audlindr
10 months, 3 weeks ago
It can't be Text Analytics. It is an incoming call. It should be Speech to Text https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-identification?tabs=once&pivots=programming-language-csharp And then Text to Speech for the response
upvoted 1 times
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suzanne_exam
11 months, 3 weeks ago
Speech to text - as it's based on a voice call Text to speech - it's not translator here, as the key thing is that the program needs to respond, not just translate
upvoted 1 times
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james2033
1 year, 5 months ago
At this time, this question is out of date. See https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/overview . In old time, Text Analytics is correct.
upvoted 4 times
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zellck
1 year, 6 months ago
1. Speech to Text 2. Test to Speech https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/language-identification?tabs=once&pivots=programming-language-csharp#speech-to-text You use Speech to text recognition when you need to identify the language in an audio source and then transcribe it to text. https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/text-to-speech Text to speech enables your applications, tools, or devices to convert text into humanlike synthesized speech. The text to speech capability is also known as speech synthesis. Use humanlike prebuilt neural voices out of the box, or create a custom neural voice that's unique to your product or brand.
upvoted 7 times
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endeesa
1 year, 7 months ago
to detect the incoming language you need Text analytics, Speech to text does not have an option to detect language
upvoted 1 times
CauchyLee
1 year, 6 months ago
POST /cognitiveservices/v1/speechtotext/recognition HTTP/1.1 Ocp-Apim-Subscription-Key: <subscription_key> Content-Type: application/json { "config": { "language": "auto", "enableSeparation": true }, "format": "audio-16khz-128kbitrate-mono-mp3", "audio": <binary_audio_file> }
upvoted 1 times
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