Client
A technology company building large-scale conversational AI solutions for global deployment, with a focus on multilingual support for emerging markets.
Problem
Conversational AI and speech-enabled systems can only succeed when trained on high-quality transcriptions that reflect real-world speech patterns. The client wanted to build robust AI models for voice assistants, call center automation, and regional language chatbots.
However, transcribing audio across Indian languages posed unique challenges:
- Complex scripts and phonetics in Telugu, Tamil, Malayalam, Bengali, and Gujarati
- Frequent code-mixing with English, especially in customer service conversations
- Handling of numerics, abbreviations, and alphanumeric expressions
- Need for accurate segmentation with timestamps for training alignment
To train their AI models effectively, the client required 150 hours of high-quality audio transcription per language, with accuracy levels above 95%.
Solution
Globik AI leveraged its proprietary transcription platform combined with a human-in-the-loop process for unmatched quality:
- Expert Linguists: Native language experts transcribed speech with full contextual accuracy, ensuring cultural and regional nuances were preserved.
- Platform Driven Efficiency: The proprietary platform handled segmentation, timestamping, and formatting (including numerics, alphanumeric, and punctuation).
- Code-Mix Management: Special workflows were designed to accurately capture English-vernacular code-mixing, which is common in real-world conversations.
- Quality Assurance: Multi tier review cycles ensured every file met the >95% accuracy benchmark before delivery.
Result
The client received over 750 hours of transcribed audio across five languages, ready to power multilingual AI systems. This dataset enabled them to:
- Train voice assistants that understand Indian languages as naturally as English
- Improve call center automation, reducing manual agent workloads while increasing customer satisfaction
- Build regional chatbots that engage users in their native language, expanding digital accessibility
- Ensure higher model accuracy and faster deployment with clean, timestamp aligned transcripts
Why It Matters
Language diversity is one of the biggest barriers in scaling conversational AI. By combining technology with human expertise, Globik AI delivered transcription datasets that reflected the true complexity of multilingual speech.
This ensured the client could scale their solutions beyond English, entering new markets and serving millions of users in their own language.
Share Worthy Snippets
- 150 hours of transcription delivered for each language: Telugu, Tamil, Malayalam, Bengali, and Gujarati
- Accuracy above 95% with human-in-the-loop validation by native experts
- Timestamp aligned, code-mix ready, and fully formatted transcripts for model training
- Powering real-world use cases such as voice assistants, call center AI, and multilingual chatbots
