Speech Recognition

Speech recognition software converts spoken language into text or commands using algorithms like Hidden Markov Models or deep learning. It enables hands-free interaction with devices, dictation, and accessibility features. Common applications include virtual assistants, transcription services, and voice-controlled interfaces.

Also known as: Voice Recognition, Speech-to-Text, STT, ASR, Voice Input

Why learn Speech Recognition?

Developers should learn speech recognition for building accessible applications, voice-controlled systems, or automating transcription tasks. It's essential for creating virtual assistants, smart home devices, and tools for users with disabilities, enhancing user experience through natural language interfaces.

Learning Resources

• tutorial: Speech Recognition with Python
• docs: Google Cloud Speech-to-Text Documentation
• course: Speech Recognition Course on Coursera
• docs: Introduction to Speech Recognition by Microsoft
• video: Speech Recognition Tutorial on YouTube