S2t

S2t is an acronym used in multiple domains to denote different concepts, with the most common reference being Speech-to-Text. In this sense, S2t describes the process of converting spoken language into written text and is a major area within automatic speech recognition (ASR). S2t systems may involve components such as audio input handling, feature extraction, acoustic models, language models, and decoders. Modern S2t approaches increasingly rely on end-to-end neural architectures that map audio signals directly to text tokens. Typical applications include transcription services, real-time captioning, voice assistants, and accessibility tools for the deaf and hard of hearing.

In other contexts, S2t is used as an internal or project-specific acronym across various fields. For example, in data engineering or software integration, S2t can stand for Source-to-Target, referring to pipelines or transformations that move and convert data from a source system to a target system. In software testing or systems engineering, it can appear as shorthand for terms like System-to-Test or Step-to-Test, depending on organizational conventions. Because there is no universally fixed meaning, the interpretation of S2t hinges on contextual cues such as accompanying nouns or the discipline involved.

See also: Automatic speech recognition, Speech-to-Text, STT, Data pipelines, Data transformation.