Natural Language Processing Flashcards
6 cards from real Microsoft Azure AI Fundamentals practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 Natural Language Processing flashcards as text
What is text-to-speech (TTS) synthesis in Azure AI Speech?
Answer: Converting written text into spoken audio output
Text-to-speech synthesis converts written text into natural-sounding spoken audio using neural voice models.
Which metric is commonly used to evaluate the accuracy of a speech recognition model?
Answer: Word Error Rate (WER)
Word Error Rate (WER) measures the percentage of words incorrectly transcribed, making it the standard metric for speech recognition quality.
What is the function of the 'intent' in a Conversational Language Understanding (CLU) model?
Answer: The predicted goal or action the user wants to perform
In CLU, an intent represents the purpose or goal behind a user's utterance, such as 'BookFlight' or 'CheckWeather'.
Which Azure service can analyze text in multiple languages and return the detected language with a confidence score?
Answer: Azure AI Language – Language Detection
The Language Detection feature within Azure AI Language identifies the language of text input and provides an ISO language code along with a confidence score.
What does 'stemming' accomplish in NLP preprocessing?
Answer: Converts words to their root or base form by removing suffixes
Stemming reduces words to their base form (e.g., 'running' → 'run') by stripping affixes, helping normalize text for analysis.
Which Azure AI service would best support adding real-time captions and transcriptions to a video conferencing application?
Answer: Azure AI Speech
Azure AI Speech provides real-time speech recognition that can generate live captions and transcriptions for audio/video streams.