/plushcap/analysis/assemblyai/assemblyai-speech-recognition

What is speech recognition? A comprehensive guide

What's this blog post about?

Speech recognition technology is experiencing rapid growth, driven by advancements in AI research and increased reliance on digital audio and video consumption. This technology converts spoken words into readable text using deep learning approaches like Transformer and Conformer architectures. The applications of speech recognition span across various industries, including customer service, healthcare, accessibility, education, content creation, smart homes, and automotive. Benefits include increased productivity, improved operational efficiency, better accessibility, enhanced user experience, and more. Key considerations when choosing a Speech-to-Text API or AI model include accuracy, additional features and models, support, documentation, pricing, language support, privacy and security, and innovation. The future of speech recognition promises continuous improvements in accuracy, multilingual support, faster streaming, and new applications such as voice biometrics and emotion recognition.

Company
AssemblyAI

Date published
Sept. 4, 2024

Author(s)
Kelsey Foster

Word count
2066

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.