Offline speech recognition was limited AI-powered preparation workflows barely existed Interpreter-specific tools were far less advanced Client confidentiality was a real issue
Help you prepare faster Assist with terminology Support your interpreting practice Integrate with interpreter-specific tools Generate transcripts in most languages Provide semi-automated feedback on your work
Prepare smarter in a fraction of the time
Transcribe speeches, extract terminology, identify named entities, and build smarter preparation workflows with AI-powered speech recognition tools.
Show up like a pro during interpreting assignments
Understand what works, what distracts you, and how interpreter-specific tools can support you in your professional environment.
Build better interpreting practice systems
Use transcripts and AI analysis to review your work and identify opportunities for improvement.
Set up professional speech recognition workflows
Including professional setups for onsite and virtual booths, Zoom and Google Meet integration, audio routing, virtual audio devices, and interpreter-specific configurations.
Make informed decisions around confidentiality
Learn the real differences between online and offline tools, opt-in and opt-out data policies, and potential tradeoffs between convenience and security.
Instant access to the existing version of the course, showing you how to leverage the power of ASR to support your interpreting
Automatic access to the upgraded course curriculum by May 28, 2026, covering 10 current free and paid tools, workflows, and even more interpreter-specific use cases
50+ bite-sized video tutorials walking you through how to use speech recognition for preparation, practice, consecutive and simultaneous interpreting – both onsite and online
Podcast version to upskill on the go!
Access to our student-only community, the techforword lounge
Lifetime access to all content and future updates
Certificate of Completion for 6 hours of professional development
FREE access to all future LIVE Get it Done Weeks for Speech Recognition for Interpreters
Welcome to the course!
- Tell us about yourself
- Intellectual Property
- Get this course in your podcast app
- Join the techforword lounge
- What you'll learn (1:54) (Preview this lesson!)
Before we start
- Welcome to the course (2:30)
- How do you feel about speech recognition? (1:24)
- How to make the most of this course? (1:56)
Module 1: Introduction to speech recognition
- How speech recognition works (2:42)
- Real-time speech recognition versus post-processed speech recognition (4:24)
- Confidentiality and *online* speech recognition tools (4:35)
- Confidentiality and *offline* speech recognition tools (2:52)
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 (3:58)
- 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 (4:16)
- Maestra Web Captioner (5:58)
- Recap: Strengths and weaknesses of real-time translation tools (1:52)
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 (0:41)
- 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 (3:05)
- Why I created TerpMate: Reflections from founder Bernard Song (2:02)
- Setting up TerpMate (5:26)
- Add terms to your glossaries in TerpMate (1:02)
- Add and download glossaries in TerpMate (01:17)
- 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
- Introduction to InterpretBank (4:24)
- InterpretBank glossaries (4:40)
- Online speech recognition with InterpretBank (6:50)
- Offline speech recognition with InterpretBank (4:28)
Module 8: Setting up speech recognition
- Introduction to audio routing (2:51)
- How to connect your laptop in the booth (1:54)
- Hardware for connecting your console in the booth (2:44)
- How to set up your Windows computer for speech recognition - Routing audio (3:44)
- 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
- The ideal layout? The Ergonomics of the Artificial Boothmate Study (3:07)
- Over-Reliance on Speech Recognition Tools (3:30)
What's next?
- Best Practices for Using Speech Recognition Safely (1:31)
- How to Talk to Clients about Speech Recognition (2:21
- What comes next? (2:44)
- Leave a review
Bonus Module: Automatic subtitling and SightConsec - The next frontier?
- How automatic live captioning works (2:21)
- How to set up Otter.ai for automatic live captioning (4:38)
- How SightConsec works (1:56)
- A SightConsec demo with CymoNote (1:26)
- SightConsec in practice: An interview with Lilia Pino Blouin (21:52)
- Bonus module recap
Tutorials
- How to set up Loopback and Google Chrome for speech recognition
- How to set up VoiceCable and Google Chrome for speech recognition
- How to connect the console and your laptop in the booth
Disclaimer: We’ve done our best to compile accurate and reliable information from this rapidly changing field. We research and test to the best of our availability. However, techforword does not accept any liability if something does not work as expected. As you will see in this course, speech recognition is not right for every setting - yet!
Speech recognition + AI for preparation
Deep dive: How I used speech recognition to prepare for an interpreting assignment
Use speech recognition and AI to get feedback on your interpreting practice
Built-in speech recognition on Windows and Mac
Built-in captions on Google Chrome and Zoom
Why Zoom transcription won’t cut it for interpreting
Live transcription with real-time translation in Google Translate, DeepL Voice, and Maestra Web Captioner
Step-by-step tutorials for 3 interpreter-specific real-time speech recognition tools, InterpretBank, Cymo Note, and TerpMate
Customizing speech recognition tools with glossaries
The ideal layout for speech recognition tools
How to avoid distractions and over-reliance
Confidentiality and offline speech recognition
How to talk to clients about using speech recognition tools
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