Case Study: Leading Indian Tech Institute achieves a 3,000-hour, 8-language multilingual speech dataset with Shaip

Over 3k hours of Audio Data Collected, Segmented & Transcribed to build Multi-lingual Speech Tech in 8 Indian languages

Leading Indian Tech Institute needed a scalable, high-quality multilingual speech dataset to support India’s National Language Translation Mission but faced strict requirements to acquire, segment and transcribe large volumes of audio across dialects, ages and recording environments. They engaged Shaip to deliver Audio Data Collection, Audio Segmentation and Audio Transcription services to meet those specifications and regulatory/consent needs.

Shaip deployed teams of collectors, linguists and annotators to deliver 3,000 hours of audio across 8 Indian languages in under five months—capturing data from 4,800 unique speakers, creating 15‑second millisecond‑timestamped segments with 200–400 ms padding, and providing JSON metadata and quality‑validated transcripts (quality thresholds WER/TER 90%). The dataset enabled the Leading Indian Tech Institute to train multilingual ASR models for digital inclusion, localized government services and other Indian‑language applications.