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Enhancing Voice AI Solution for a Cloud-Based Call Recording Software Company

How does a global cloud-based call recording company enhance transcription accuracy in 10 languages to fuel its international expansion?

This is exactly the challenge our team at MoniSa Enterprise tackled—and overcame—through rigorous data collection and transcription to supercharge their Voice AI product.

In just over two months, we expanded the scope from 10 to additional languages, met critical deadlines, and maintained exceptional transcription accuracy.

Here’s how we did it.

Introduction:

A leading cloud-based call recording company approached MoniSa Enterprise with a clear but ambitious goal: expand their Notes product, a real-time voice transcription tool, to support 10 new languages and dialects.

The stakes were high—the success of this expansion could make or break their ability to serve international clients. They needed more than just standard language data collection; they needed precision, cultural nuance, and a fast turnaround.

Our task was to deliver high-quality transcriptions in multiple languages that would not only meet benchmarks but exceed client expectations, enabling global growth for their product.

Quantification of Challenges and Solutions:

 Voice AI Solution

1. Challenge: Ensuring Transcription Accuracy Across Languages

    • Dialects and varied linguistic nuances can make or break transcription accuracy.
    • Solution: We collaborated with MoniSa Enterprise’s top linguists to build detailed guidelines and sample datasets. This framework ensured consistency, and the transcription quality hit a 98% accuracy rate, well above the client’s expectations.

2. Challenge: Participant Screening for Simulated Business Environments

  • Identifying participants who could simulate real-world meeting environments was complex, especially in niche languages.
  • Solution: We implemented advanced screening methods, selecting participants based on language fluency and relevant business experience. This approach resulted in high-quality data that matched real-world usage scenarios.

3. Challenge: Managing Tight Project Deadlines

  • With a strict timeline of just over two months, we had to ensure that the transcription and benchmarking process was completed on time.
  • Solution: Our project management team developed a flexible timeline with built-in contingencies. We completed the entire data collection and transcription process by April 5, 2022—right on schedule.

Quality Assurance and Advanced Linguistic Methods

The backbone of this project was quality control. We created highly specific guidelines for each language, covering nuances like regional dialects, slang, and cultural context. By using real-time feedback loops and periodic reviews, we achieved a 98% transcription accuracy rate, reducing typical AI errors like misinterpretation of accents or idioms.

Precision Participant Selection

To simulate authentic business meetings, we couldn’t just select native speakers—we needed professionals who could replicate the corporate context in multiple languages. Our participant screening was highly selective, narrowing down candidates based on both fluency and business acumen. This method enabled the collection of data that mirrored actual meeting environments, increasing the reliability of the AI’s performance in real-world settings.

Voice AI Solution

Efficient, Scalable Project Management

Despite the tight deadline, our project team was equipped to handle adjustments in scope. Initially targeting 10 languages, the project’s success led to an expansion in scope, adding more languages and dialects as the client recognized the value of the data. We adopted agile project management techniques, which allowed for quick pivots and on-time delivery.

Technological Innovations

Using state-of-the-art speech data collection platforms and transcription tools, we streamlined the transcription process. Our custom AI-driven tools helped in post-processing transcriptions, further reducing errors and speeding up the workflow, making it scalable and future-proof for the client’s expanding needs.

Conclusion:

MoniSa Enterprise successfully helped a leading cloud-based call recording company launch its Notes product in multiple languages, meeting their aggressive timelines while maintaining superior transcription accuracy. Our innovative approach in screening participants and ensuring quality has set the stage for future collaboration with the client.

What’s next?

Looking to expand your own AI-driven solutions to multiple languages? Let’s discuss how MoniSa Enterprise can help you achieve global scale with the precision and quality you need. Contact us today to learn more!