A company is building a mobile app for users who have a visual impairment. The app must be able to hear what users say and provide voice responses. Which solution will meet these requirements?

The correct answer is A. Use a deep learning neural network to perform speech recognition. The mobile app for users with visual impairment needs to hear user speech and provide voice responses, requiring speech-to-text (speech recognition) and text-to-speech capabilities. Deep learning neural networks are widely used for speech recognition tasks, as they can…

Submitted by miguelv· Mar 30, 2026AI Services

Question

Options

AUse a deep learning neural network to perform speech recognition.
BBuild ML models to search for patterns in numeric data.
CUse generative AI summarization to generate human-like text.
DBuild custom models for image classification and recognition.

How the community answered

(57 responses)

A
75% (43)
B
7% (4)
C
4% (2)
D
14% (8)

Explanation

The mobile app for users with visual impairment needs to hear user speech and provide voice responses, requiring speech-to-text (speech recognition) and text-to-speech capabilities. Deep learning neural networks are widely used for speech recognition tasks, as they can effectively process and transcribe spoken language. AWS services like Amazon Transcribe, which uses deep learning for speech recognition, can fulfill this requirement by converting user speech to text, and Amazon Polly can generate voice responses. Amazon Transcribe uses deep learning neural networks to perform automatic speech recognition (ASR), converting spoken language into text with high accuracy. This is ideal for applications requiring voice input, such as accessibility features for visually impaired users.

Topics

#Speech recognition#Text-to-speech#Deep learning

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