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Speech recognition is an AI capability that converts spoken language into written text. It uses deep learning models to process audio signals, identify words and phrases, and produce accurate transcriptions in real time.
Speech recognition enables hands-free computing, makes technology accessible to people with disabilities, and powers a growing ecosystem of voice-controlled applications.
Otter.ai uses speech recognition to automatically transcribe meetings in real time, allowing participants to focus on the conversation rather than taking notes.
Natural Language Processing (NLP)
Natural language processing is a branch of AI that enables machines to read, understand, interpret, and generate human language. It bridges the gap between human communication and computer understanding, covering tasks like translation, summarisation, and sentiment analysis.
Deep Learning
Deep learning is a subset of machine learning that uses neural networks with many layers to learn complex patterns from large amounts of data. The 'deep' refers to the multiple layers that progressively extract higher-level features from raw input.
Virtual Assistant
A virtual assistant is an AI-powered application that understands natural language commands and performs tasks on behalf of the user. It combines speech recognition, natural language processing, and task automation to provide a conversational interface for digital services.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.