From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure

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Understanding speech recognition and synthesis

Understanding speech recognition and synthesis

From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure

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Understanding speech recognition and synthesis

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- [Instructor] Speech recognition converts spoken words into text. It processes input from audio files or live microphone input by analyzing speech patterns and mapping them to words. This process typically involves two key models. The acoustic model converts audio signals into phonemes, the basic sounds of speech. The language model maps these phonemes to words, predicting the most likely word sequences. Speech recognition has many applications, including generating captions for videos, transcribing phone calls or meetings, automating note taking, and interpreting user input for further actions. Now speech synthesis is the reverse process, turning text into speech. A speech synthesis system requires the text to be spoken and a voice to vocalize the text. This technology is useful in phone apps that respond with voice, navigation systems providing directions, reading messages, emails, or books aloud, and broadcasting public announcements, such as in airports or train stations. These…

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