Recap: Strengths and weaknesses of real-time transcription

Speech recognition for interpreters

Welcome to the course!

Before we start

Module 1: Introduction to speech recognition

Module 2: Using speech recognition (and AI) for preparation and practice

Intro to using speech recognition for preparation (2:09)
Intro to TurboScribe ✍🏼 (2:31)
How to transcribe a file 🧐 (2:53)
Machine translate your transcript 🤖 (1:33)
Pair up Turboscribe and ChatGPT 👯‍♀️ (3:59)
Use Turboscribe with online videos and audio ⏯️ (0:42)
Ways to use speech recognition for interpreting preparation (3:25)
Deep dive: How I used Turboscribe + AI to prepare to interpret a keynote 🦾 (10:06)
Semi-automated feedback on your interpreting practice with AI (5:10)

Module 3: Using live transcription during interpreting assignments

Intro to live transcription tools (2:16)
Built-in speech recognition on Windows (3:48)
Built-in speech recognition on Mac (3:03)
Built-in speech recognition in Google Chrome (3:04)
Are Zoom captions enough? (No 😉) (2:07)
Recap: Strengths and weaknesses of real-time transcription (2:34)

Module 4: Using real-time translation tools during interpreting assignments

Intro to real-time translation (2:28)
Setting up your browser to capture your audio (2:12)
Google Translate (2:18)
DeepL Voice (3:10)
Google Chrome’s Live Translate (4:15)
Maestra Web Captioner (5:58)
Recap: Strengths and weaknesses of real-time translation tools (1:53)

Module 5: Interpreter-specific speech recognition tool 1: Cymo Note

An introduction to CymoNote (3:31)
Why I created CymoNote – Reflections from designer Marty Zhu (2:16)
Using Cymo Note for terms, numbers and more – a quick demo (0:53)
Set up Cymo Note languages and speech recognition engines 🏎️ (1:37)
Working with glossaries on Cymo Note 💻 (2:00)
Using Cymo Note to work with numbers 🔢 (0:42)
Force Replace for named entities 🤴🏽 (0:25)
Speech recognition with running translation (1:39)

Module 6: Interpreter-specific speech recognition tool 2: TerpMate

An Introduction to TerpMate (3:04)
Why I created TerpMate: Reflections from founder Bernard Song (2:02)
Setting up TerpMate (5:26)
Add terms to your glossaries in TerpMate (1:01)
Add and download glossaries in TerpMate (1:17)
Force replace with TerpMate (1:43)
TerpMate's Auto Language Detection Feature (5:56)
Other nifty features in TerpMate (6:36)

Module 7: Interpreter-specific speech recognition tool 3: InterpretBank

Module 8: Setting up speech recognition

Introduction to audio routing (2:51)
How to connect your laptop in the booth (1:53)
Hardware for connecting your console in the booth (2:44)
How to set up your Windows computer for speech recognition - Routing audio (3:43)
How to set up your Mac for speech recognition: Routing audio (3:34)

Module 9: Picking the right interpreter-specific tool – and using it in practice

What's next?

BONUS MODULE: Automatic subtitling and SightConsec - The next frontier?

Tutorials

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