Summary

Speech recognition applications identify words and phrases in spoken language and convert them to a machine-readable format.

genislab ai usecases

Usecase:Speech Recognition

Overview

Speech recognition applications identify words and phrases in spoken language and convert them to a machine-readable format. Speech recognition has gained prominence and wider use with rapid improvements in Machine Learning and the development of intelligent assistants, such as Amazon's Alexa, Apple's Siri, and Microsoft's Cortana. Voice recognition systems enable consumers to interact with technology simply by speaking to it, enabling hands-free requests, reminders, and other simple tasks. Some speech recognition systems require "training" where an individual speaker reads text or isolated vocabulary into the system. The system analyzes the person's specific vocal patterns and uses it to fine-tune the recognition of that person's speech, resulting in increased accuracy. In business contexts, applications can also be trained with vocabulary and phrases that are unique to the company. This is useful in situations where acronyms or specialized language are commonly used.

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