Your voice could help shape the next generation of AI. TELUS Digital is calling on Malay speakers to participate in a Speech-to-Text (STT) audio collection project — a chance to directly influence how artificial intelligence understands natural, conversational Malay English, commonly known as Manglish.
What This Speech-to-Text Project Involves
The project is straightforward: participants will record voice utterances by reading scripts provided by TELUS Digital. These scripts are designed to cover a range of everyday conversational topics, ensuring the audio data reflects how people actually speak — not how they write formally.
Recordings can be done through a mobile or web application, making participation accessible from anywhere. The key requirement is to read naturally and conversationally, avoiding overly formal or robotic speech patterns.
Why Natural Speech Matters for AI Development
Most speech recognition systems struggle with colloquial language, code-switching, and regional accents. Manglish — a blend of Malay and English — presents unique challenges for AI models trained primarily on standard language datasets.
By collecting authentic Manglish audio, this project aims to bridge that gap. The recordings will be paired with their corresponding scripts to create high-quality training data, helping AI systems recognize and process the way Malay speakers genuinely communicate in daily life.
How the Recording Process Works
Participants will go through multiple recording sessions. Each session provides new scripts, keeping the process varied and engaging. The focus is on conversational topics — things you might discuss with friends, family, or colleagues — rather than technical or formal subjects.
This approach ensures the audio dataset captures the rhythm, tone, and vocabulary of real-world Manglish conversations, which is critical for building robust speech recognition models.
Who Can Participate and What to Expect
The project is open to Malay speakers who are comfortable reading and speaking in Manglish. No technical expertise is required — just a quiet environment, a smartphone or computer, and the ability to read naturally.
Participants should expect to dedicate time across multiple sessions. The exact number of sessions and total recording time may vary based on project requirements, but the process is designed to be flexible and user-friendly.
TELUS Digital's Role in AI Data Collection
TELUS Digital is a established player in the AI data solutions space, connecting businesses with human intelligence to train and refine AI systems. This project is part of a broader industry trend where companies rely on native speakers to provide the linguistic data that makes AI more inclusive and accurate.
For Malay speakers, this is an opportunity to contribute to technology that will serve their community — from voice assistants that understand Manglish to transcription tools that handle local accents with precision.
The Growing Demand for Regional Language Data
This initiative reflects a larger shift in the AI industry. For years, speech recognition technology prioritized major global languages, often leaving regional dialects underserved. Projects like this one signal a move toward more inclusive AI development.
Malay is spoken by over 290 million people across Southeast Asia, yet Manglish — the informal, code-switched variant — remains underrepresented in AI training datasets. This project directly addresses that gap.
Confirmed Details vs What Remains Unclear
Confirmed: TELUS Digital is recruiting Malay speakers for an STT audio collection project. Participants will read scripts in Manglish via mobile or web app. The goal is to train speech recognition models.
Unclear: Specific compensation details, the exact number of recording sessions required, and the project timeline have not been publicly detailed. Interested participants should contact TELUS Digital directly for complete information.
What Participants Should Consider Before Applying
If you're considering joining, ensure you have a quiet recording space and a reliable device. Read the project guidelines carefully and understand the time commitment involved.
It's also worth asking about data usage rights — how your recordings will be used, stored, and whether they'll be shared with third parties. Transparency on these points is essential before committing.
How This Fits Into the Broader AI Landscape
Speech recognition is becoming integral to everything from customer service bots to healthcare documentation. The quality of these systems depends entirely on the data they're trained on.
By participating in this project, Malay speakers aren't just earning potential compensation — they're helping ensure AI understands them and their community. That's a meaningful contribution to technology that's becoming more localized and human-centric.
Practical Steps for Interested Malay Speakers
Visit TELUS Digital's official platform to check for open participation opportunities. Review the project requirements, prepare your device, and ensure you meet the language criteria.
Treat this like any professional engagement — read the terms carefully, clarify doubts before starting, and maintain consistent recording quality throughout the sessions.
Future Outlook for Malay Speech Recognition
As more regional language datasets are collected, we can expect AI systems to become significantly better at understanding Manglish and similar code-switched languages. This could lead to improved voice assistants, more accurate transcription services, and better accessibility tools for Malay speakers worldwide.
The success of projects like this will determine how quickly these improvements reach the market.
Our Take
This project represents a small but significant step toward linguistic inclusivity in AI. For too long, speech recognition has been a one-size-fits-all technology that often fails regional speakers. Initiatives like TELUS Digital's STT collection acknowledge that diversity in data leads to better technology for everyone.
For Malay speakers, this is both an economic opportunity and a chance to shape the digital tools their community will use for years to come. The key is to participate thoughtfully — understanding the terms, the technology, and the impact of your contribution.
Frequently Asked Questions
What is the Speech to Text Audio Collection project for Malay speakers?
It's a TELUS Digital initiative where Malay speakers record voice utterances by reading scripts in Manglish. The audio is used to train AI speech recognition models to better understand natural, conversational Malay English.
Who can participate in this Malay STT audio collection?
Malay speakers who can read and speak Manglish naturally are eligible. No technical background is required — just access to a mobile or web application and a quiet recording environment.
How does the recording process work?
Participants receive scripts covering everyday conversational topics and read them aloud during multiple recording sessions. The recordings are made through TELUS Digital's mobile or web application.
Why is Manglish important for speech recognition training?
Manglish represents how Malay speakers actually communicate in daily life, blending Malay and English. Training AI on this data helps speech recognition systems understand regional accents, code-switching, and colloquial expressions that standard datasets often miss.
