Automating Multilingual Meetings: Combining STT and LLM for FDI Enterprises

In the modern business landscape, particularly within foreign direct investment (FDI) enterprises, language barriers and the administrative workload following meetings are two major challenges. Spending hours listening to recordings, taking manual notes, and cross-referencing content is not only costly but also prone to errors. Applying artificial intelligence, specifically the combination of Speech-to-Text (STT) and Large Language Models (LLM), is becoming an essential solution for creating accurate, fast, and professional AI meeting minutes.

This article analyzes how FDI enterprises can leverage the power of English-Vietnamese meetings through automation, helping to reduce employee workload and ensure information consistency.

Challenges for FDI Enterprises in Meeting Management

FDI companies often have multinational staffing structures where English is the primary working language, but Vietnamese is still widely used in internal communications or with local partners. This blend creates specific challenges:

• Bilingual note-taking difficulties: Employees responsible for minutes often have to switch constantly between two languages, leading to fatigue and missed important information.
• Time lost on post-processing: After a 1-hour meeting, it can take an additional 2-3 hours to edit and finalize the document.
• Semantic misinterpretation risks: Specific technical or commercial terms are easily misunderstood when switching between languages, impacting business decisions.

The solution is to use an automated workflow system where the computer handles the "listening" and "recording," while humans focus on "analysis" and "decision-making."

The STT and LLM Workflow for High-Quality Minutes

To build an effective automation system, enterprises need to understand how these two technologies work together. This is the standard workflow that AIVISION typically applies when deploying solutions for enterprise clients.

Step 1: Enterprise Speech-to-Text

This is the foundational step. The STT system receives audio data from the meeting and converts it into raw text. For a multilingual environment, the requirement for STT is not just high accuracy but also effective handling of "code-switching" – the practice of speakers alternating between Vietnamese and English within a single sentence.

AIVISION Speech-to-Text is designed to prioritize Vietnamese while smoothly handling English words interspersed in sentences. This technology supports both streaming mode (real-time via WebSocket) and file processing (via REST), allowing enterprises flexibility in applying it to live meetings or recorded sessions.

Step 2: Data Processing and Cleaning

Raw text from STT often contains filler words, background noise, or pronunciation errors. This is where the LLM comes in. The LLM reads and understands the context, removes irrelevant parts, and standardizes the text format.

Step 3: Summarization and Action Item Extraction

This is the core value of combining STT and LLM. Instead of just having a long document, the LLM analyzes the content to:

• Summarize the meeting: Distill key points, decisions made, and points of disagreement.
• Extract tasks: Identify who needs to do what and when the deadlines are.
• Translate (if needed): Convert key content into the required language so all stakeholders can understand it.

Real-World Example: Optimizing an FDI Project Meeting

Consider a practical scenario at an FDI manufacturing company in Vietnam. Every Monday, they hold a 60-minute meeting between the foreign management team (speaking English) and the Vietnamese technical team (speaking Vietnamese, interspersed with English technical terms).

Before applying AI:

• Office staff had to take handwritten notes and listen to recordings for 2 hours.
• Minutes were often delayed, sent 1 day after the meeting.
• Technical staff sometimes did not clearly understand requirements due to language barriers, leading to technical errors.

After applying the STT + LLM solution:

• The system automatically records and converts speech in real-time.
• Immediately after the meeting ends, AI meeting minutes are generated within minutes.
• Minutes are divided into clear sections: "Decisions," "Actions," and "Technical Notes."
• Technical terms are kept intact or annotated with correct context, ensuring accuracy.

Implementation Advice for Enterprises

To achieve the highest efficiency when automating this workflow, enterprises should note the following:

1. Ensure audio quality: Although modern STT models like those from AIVISION have good noise reduction capabilities, using high-quality microphones or headsets with dedicated mics still helps increase accuracy, especially in noisy meeting rooms.
2. Standardize terminology: Provide the system with a list of industry-specific terms (glossary). This helps the LLM understand the correct context and avoid translation or spelling errors with proper nouns.
3. Final review process: AI supports humans, it does not completely replace humans in important decisions. Always have a quick review step by the responsible person before sending the official minutes.
4. Integrate into existing workflows: Connect the STT/LLM system's API with project management tools (like Jira, Trello) or email to automate sending minutes and creating tasks.

Why Choose a Solution from AIVISION?

AIVISION is a unit focused on developing speech AI technology specifically for Vietnamese and other diverse languages. With experience deploying for hundreds of enterprises in Vietnam, the USA, Mexico, the Philippines, and Thailand, AIVISION clearly understands the specific challenges faced by FDI companies.

The strength of the AIVISION system lies in its ability to process Vietnamese naturally and accurately. Our Speech-to-Text model is trained on high-quality Vietnamese data, achieving high accuracy in real-world communication situations, including complex business meetings.

The combination of accurate STT technology and intelligent LLMs from AIVISION helps turn English-Vietnamese meetings into valuable, easily searchable, and immediately actionable documents.

Conclusion

Automating multilingual meetings is no longer a distant trend but an urgent need to improve productivity and reduce operational costs for FDI enterprises. By combining STT and LLM, enterprises can eliminate repetitive tasks, minimize errors, and ensure that all important information is recorded and assigned to the right people.

If you are looking for a reliable enterprise speech-to-text solution that supports Vietnamese and English well, consider AIVISION. We provide powerful, flexible, and easy-to-integrate tools to help your team focus on what truly matters: business and development.

Start your digital transformation journey today.

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Frequently asked questions

How does the STT system handle situations where speakers alternate between Vietnamese and English?

Modern STT systems like AIVISION's are designed to handle code-switching. The model is trained on real-world data, helping it accurately recognize and convert both languages in the same sentence without users needing to separate them.

Can AI meeting minutes be automatically emailed to team members?

Yes. Through API integration, the system can automate the post-minutes workflow. You can configure the system to send minutes via email or push "action items" directly into work management tools like Jira or Trello.

How accurate is speech-to-text in noisy meeting room environments?

Accuracy depends on input audio quality. However, AIVISION's STT models are optimized to minimize the impact of background noise and multiple simultaneous speakers, helping maintain high accuracy even in crowded live meetings.

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