---
title: "How to use lecture transcription when studying in a second language"
url: "https://hontoni.app/blog/lecture-transcription-second-language-study-guide"
locale: "en"
description: "A practical guide to lecture transcription for second-language students. Learn where to sit, how to avoid cognitive overload, and how to verify transcripts."
author: "Hontoni Editorial"
publisher: "Hontoni"
published: "2026-09-28T01:51:19.32452+00:00"
updated: "2026-09-28T01:51:19.32452+00:00"
reading_minutes: 7
tags:
  - "study skills"
  - "lecture notes"
  - "second language"
  - "university"
  - "transcription"
sources:
  - "https://thinkmagellan.com/wp-content/uploads/2022/10/Cognitive-Load-and-the-Whole-Person-Learner-White-Paper.pdf"
  - "https://pmc.ncbi.nlm.nih.gov/articles/PMC12724501/"
  - "https://puiaudio.com/news/mems-microphones-capturing-precision-in-modern-audio-systems/"
  - "https://support.apple.com/en-us/101993"
  - "https://research.google/blog/assessing-asr-performance-with-meaning-preservation/"
  - "https://nhsjs.com/2025/evaluating-the-accessibility-of-automatic-speech-recognition-technology-across-accents/"
  - "https://www.eapfoundation.com/vocab/academic/awllists/"
  - "https://www.uva.nl/shared-content/uva/en/a-z/audio-and-video-in-teaching/audio-and-video-in-teaching.html"
  - "https://law1a.nus.edu.sg/student_matters/pdfs/Policy%20on%20Classroom%20Recordings.pdf"
---

Listening to a ninety-minute university lecture in a language that is not your first requires sustained concentration. When technical vocabulary, rapid delivery, and unfamiliar accents collide, keeping up with the central argument while scribbling notes becomes difficult.

Automated speech recognition tools can assist by providing a written record of what was said. However, lecture transcription is not a simple substitute for listening. Lecture halls present difficult acoustic conditions, speech models frequently misunderstand specialised terminology, and trying to read a live transcript while watching slides can quickly overwhelm your working memory. 

To make transcription work for your degree, you need a disciplined routine before, during, and after class.

## Ask for permission and check institutional rules

Before you set up any recording device in a lecture hall or seminar room, you must confirm that you are permitted to do so. Universities have distinct regulations concerning classroom recordings, intellectual property, and personal data.

Institutional rules vary significantly across regions:
* Some institutions enforce strict guidelines. For instance, the [National University of Singapore policy on classroom recordings](https://law1a.nus.edu.sg/student_matters/pdfs/Policy%20on%20Classroom%20Recordings.pdf) requires formal permission before any class session may be recorded.
* European institutions governed by data protection laws treat spoken contributions as personal data. The [University of Amsterdam guidance on audio and video in teaching](https://www.uva.nl/shared-content/uva/en/a-z/audio-and-video-in-teaching/audio-and-video-in-teaching.html) sets clear boundaries on how recordings may be handled and shared.
* Even where lectures are recorded centrally by the university, personal recordings made by students often require the lecturer's express consent.

If you want to record or transcribe a lecture for your personal studies, check the module handbook or course syllabus first. If the policy is not stated, send a brief, courteous email to the lecturer before the term begins:

> *"Dear Professor [Surname], I am an international student on your [Course Title] module. To assist with following the academic content in English, may I use an audio transcription app on my phone during lectures for my personal study review? I will not share or publish the recordings or text."*

Securing written consent protects you and respects the academic staff and your fellow students.

## Where to sit and how to handle room acoustics

Automatic speech recognition (ASR) engines rely entirely on the quality of the incoming audio signal. A transcription tool cannot reconstruct syllables that your microphone failed to capture clearly.

Lecture halls are acoustically challenging spaces. Speech sound waves bounce off hard walls, ceilings, and tiered seating, creating reverberation that muddles consonant sounds. Peer-reviewed research in the [PMC journal on reverberation and auditory spatial attention](https://pmc.ncbi.nlm.nih.gov/articles/PMC12724501/) shows how reflective environments degrade auditory clarity and selective listening.

Smartphone microphones contain miniature Micro-Electro-Mechanical Systems (MEMS) sensors. As technical analyses such as [PUI Audio's overview of MEMS microphones](https://puiaudio.com/news/mems-microphones-capturing-precision-in-modern-audio-systems/) explain, these tiny components are engineered primarily for near-field speech—such as holding the handset a few inches from your mouth. When capturing a speaker thirty feet away, their performance degrades rapidly.

To capture the best possible audio:
1. **Sit near the front and centre.** Minimising the physical distance between your handset and the lecturer significantly improves the ratio of direct voice to reverberant room echo.
2. **Place the phone flat and unobstructed.** Keep the microphone ports at the base of the device facing forward, clear of laptop bags, notebooks, or heavy cases.
3. **Avoid ambient noise sources.** Sit away from noisy projector fans, air conditioning vents, open windows, and students typing loudly on mechanical keyboards.
4. **Configure your microphone settings.** If you are using an iPhone, you can select Voice Isolation mode from the Control Centre during supported audio tasks, as documented in [Apple Support's guide on Voice Isolation and mic modes](https://support.apple.com/en-us/101993), to help isolate speech frequencies from background hum.

## Manage your attention during the live lecture

One of the most common mistakes second-language students make is trying to read every word of a scrolling live transcript while the lecturer speaks.

Cognitive research into multi-channel processing, including the [ThinkMagellan white paper on cognitive load and the whole-person learner](https://thinkmagellan.com/wp-content/uploads/2022/10/Cognitive-Load-and-the-Whole-Person-Learner-White-Paper.pdf), highlights the danger of the redundancy effect. When your visual channel is split between text-heavy presentation slides and a fast-moving transcript on your desk, while your auditory channel tries to follow spoken explanations, your working memory becomes overloaded. Instead of aiding comprehension, live reading causes mental fatigue.

Treat live transcription as an occasional safety net, not a live reading exercise:
* Keep your primary focus on the lecturer, their slides, and their whiteboard workings.
* Do not stare at the screen. Only glance down when you miss a crucial phrase, lose the thread of a rapid transition, or want to verify a specific sentence.
* If you use a live translation tool, stick to on-screen written text. Listening to generated synthetic speech in headphones while the lecturer speaks in the room creates severe auditory interference.

If you use the built-in dictation or voice notes on your device, it will write in your system language without distinguishing between different people in the room. In Hontoni, you choose what to read in on the Home screen, such as your native language or the language being spoken. Tap Listen, and captions appear on screen as people speak, with a separate label for each speaker.

![Hontoni's Home screen on an iPhone: Read in English at the top, an illustration of two speech bubbles joined by a ribbon, and a large Listen button beside Import.](https://hontoni.app/screenshots/iphone16-direct-listen.png)

## What automatic transcription gets wrong in a lecture hall

No automated transcription system produces perfect results in a live academic setting. Understanding where the software fails will prevent you from relying on inaccurate text during revision.

### Specialist terms and academic vocabulary
Academic lectures rely heavily on the Academic Word List (AWL)—a set of core academic terms described in educational resources like [EAP Foundation's Academic Word List index](https://www.eapfoundation.com/vocab/academic/awllists/). In addition, your lecturers will use specialised jargon, Latin names, chemical formulas, and mathematical notation. Because speech models prioritize common everyday words, they frequently replace unusual academic terms with common words that sound similar.

### Accents and conversational overlap
Academic departments are international. ASR systems exhibit varying error rates across different regional accents and speech patterns, as demonstrated in the [NHSJS evaluation of speech recognition across accents](https://nhsjs.com/2025/evaluating-the-accessibility-of-automatic-speech-recognition-technology-across-accents/). Furthermore, during open seminar discussions or classroom questions, speech models struggle when two people speak at once, often missing quiet questions from the back of the room entirely.

### Meaning preservation versus surface errors
Research into speech models, such as [Google Research's work on meaning preservation](https://research.google/blog/assessing-asr-performance-with-meaning-preservation/), notes that small transcription errors matter unevenly. If an automated system misses a filler word like "um" or "basically", your notes remain useful. However, if it mishears a negative prefix (writing "is possible" instead of "is impossible") or scrambles a numerical value, the academic meaning is completely reversed.

## How to check and revise from your transcript

The real academic benefit of lecture transcription occurs after the class has ended, when you convert raw text into structured study notes.

Follow this post-lecture revision routine:
1. **Cross-check against the official slides.** Open your lecturer's slide deck alongside your transcript. Look for definitions, formulas, dates, and theorem names on the slides, and correct any mangled terms in your transcript.
2. **Use bulk find-and-replace.** If a lecturer repeatedly referenced an unfamiliar concept (for example, "Schrödinger" transcribed as "showing her"), use find-and-replace to correct every instance across the document in seconds.
3. **Sanitise speaker transitions.** If a classmate asked an insightful question that the automated diarisation combined into the lecturer's monologue, manually separate the paragraphs so the context remains clear.
4. **Distil into active recall notes.** An unedited transcript is thousands of words of conversational prose. Extract the core argument into a three-sentence summary, list the new specialist terms introduced, and write five revision questions based on the main themes.

If you find yourself missing key terms during fast-paced lectures in a second language, Hontoni is one option you could explore. It displays a live transcript in the language being spoken or provides a written translation beside the original words, which may suit students reviewing complex seminars. Like all speech software, it can struggle with heavy room echo or overlapping speech, so testing it in your specific lecture rooms is sensible.

[Try Hontoni free.](https://hontoni.app/contact) — An hour free when you create an account, or 10 minutes as a guest. No card needed.

Make a habit of reviewing your lecture notes within twenty-four hours of class. Comparing your automated transcript directly against your assigned readings will quickly turn rough, imperfect text into reliable revision material.