# IBM Watson Speech to Text Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/ibm-watson-speech-to-text
> Markdown URL: https://aitinkerers.org/technologies/ibm-watson-speech-to-text.md
> Technology record last updated: 2026-03-04T16:47:13Z
> Generated: 2026-09-22T01:44:49Z

IBM Watson Speech to Text converts audio into accurate text using deep learning AI for real-time transcription and voice-driven applications.

Watson Speech to Text leverages sophisticated neural network models to transcribe audio in 20+ languages (including dialects like Brazilian Portuguese and Modern Standard Arabic). It handles low-quality telephony audio at 8kHz and high-fidelity 16kHz streams with equal precision. Developers use its robust API to automate contact center analytics, generate live captions, and enable voice commands. Key features include speaker diarization (identifying who said what), smart formatting for dates and currencies, and custom acoustic models that adapt to specific industry jargon or noisy environments.

- Official technology site: https://www.ibm.com/products/speech-to-text
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [UzbekVoice](https://tashkent.aitinkerers.org/talks/rsvp_7WmwgOqtMgg)

UzbekVoiceAI is an innovative company specializing in speech processing and artificial intelligence solutions for the Uzbek-speaking audience. Our mission is to deliver high-quality speech recognition (STT) and text-to-speech (TTS) technologies for the Uzbek language, enhancing user interaction with digital devices and services. We develop solutions for speech-to-text conversion, text-to-speech synthesis, and large language models (LLMs) tailored to the unique features of the Uzbek language.

- Event context: AI Tinkerers - Tashkent Inaugural Meetup (October) — 2024-10-31 — Tashkent
- Public talk page: https://tashkent.aitinkerers.org/talks/rsvp_7WmwgOqtMgg

### [YT shorts finder](https://austin.aitinkerers.org/talks/rsvp_TpbSnDWuX0s)

A way to extract meaning from youtube shorts and search over your personalized database of them, using a mix of vision models, speech transcription models, and general purpose LLMs

- Event context: Community AI Demos - September Edition — 2024-09-12 — Austin
- Public talk page: https://austin.aitinkerers.org/talks/rsvp_TpbSnDWuX0s

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