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.

Speech-to-Text

The automatic transcription of spoken language into written text using acoustic and language models, foundational to voice assistants and meeting transcription systems.

An NLP task that identifies and classifies named entities in text into categories like person, organisation, and location.

A measure of how closely the meanings of two text passages align, computed through embedding comparison and used in duplicate detection, search, and recommendation systems.

The process of producing coherent and contextually relevant text using AI language models.

The automated production of source code from natural language specifications or partial code context, powered by large language models trained on programming repositories.

The subfield of NLP concerned with producing natural language text from structured data or representations.

A parameter controlling the randomness of language model outputs — lower values produce more deterministic text.

Dense vector representations of text passages that capture semantic meaning for similarity comparison and retrieval.

An approach to AI alignment where models are trained to follow a set of principles or constitution.