Speech-to-Text

Speech Recognition

The technology that converts spoken language into text, also known as automatic speech recognition.

Speech Synthesis

The artificial production of human speech from text, also known as text-to-speech.

Text-to-Speech

Technology that converts written text into natural-sounding spoken audio using neural networks, enabling voice interfaces, accessibility tools, and content narration.

The component of conversational systems that tracks conversation state, determines the next system action, and maintains coherent multi-turn interactions with users.

Reinforcement Learning from Human Feedback — a technique for aligning language models with human preferences through reward modelling.

A neural network trained to convert text passages into fixed-dimensional vectors that capture semantic meaning, enabling similarity search, clustering, and retrieval applications.

Global Vectors for Word Representation — an unsupervised learning algorithm for obtaining word vector representations from aggregated word co-occurrence statistics.

The task of automatically converting natural language questions into executable SQL queries, enabling non-technical users to interrogate databases through conversational interfaces.

The maximum amount of text a language model can consider at once when generating a response.

The maximum number of tokens a language model can process in a single input-output interaction.

A database optimised for storing and querying high-dimensional vector embeddings for similarity search.