Learn how to use the speech service, a cloud-based service that enables real-time speech translation, speech recognition, speech synthesis, speaker recognition, and speech analytics, and prepare for the Microsoft Azure AI Fundamentals AI-900 certification exam.
You are building a solution that will translate speeches in real-time live from one language to another. Which service should you use?
A. Text analytics
B. Translator text
The Speech service can translate from audio sources to text.
The correct answer is C. Speech. The speech service is a cloud-based service that enables real-time speech translation, speech recognition, speech synthesis, speaker recognition, and speech analytics. The speech service supports over 90 languages and dialects for speech translation, and can translate from any language to any language. The speech service also provides a speech translation API that allows developers to integrate speech translation capabilities into their applications.
Some of the features and benefits of the speech service are:
- Real-time speech translation: The speech service can translate speech from one language to another in real-time, enabling natural and seamless communication across different languages and cultures. The speech service can also provide subtitles and captions for speech translation, enhancing the accessibility and inclusivity of the service.
- Speech recognition: The speech service can convert spoken audio into text, enabling voice-based interactions and commands. The speech service can recognize speech in various scenarios, such as conversational, dictation, and command and control. The speech service can also adapt to different accents, dialects, and vocabularies, and provide confidence scores and alternative hypotheses for the recognized speech.
- Speech synthesis: The speech service can convert text into natural-sounding speech, enabling text-to-speech applications and scenarios. The speech service can synthesize speech in various languages and voices, and customize the speech output with parameters such as rate, pitch, volume, and pronunciation. The speech service can also use neural text-to-speech technology to generate human-like speech with natural expressions and intonations.
- Speaker recognition: The speech service can identify and verify speakers based on their voice characteristics, enabling speaker authentication and identification applications and scenarios. The speech service can use speaker verification to confirm the identity of a speaker based on a passphrase, or speaker identification to determine the identity of a speaker from a group of enrolled speakers.
- Speech analytics: The speech service can analyze speech audio and provide insights and metrics, such as sentiment, emotion, keywords, intents, and conversational metrics. The speech service can help improve customer service, sales, marketing, and education by providing feedback and insights on the speech interactions.
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.