Case Study: Leading Indian Tech Institute amasses 8,000 audio hours and transcribes 800 with Shaip to power multilingual speech models

Over 8k Audio hours Collected, 800 hours Transcribed for Multilingual Voice Technology

Leading Indian Tech Institute partnered with Shaip to support a National Language Translation Mission, facing the challenge of acquiring and validating large-scale, high-quality multilingual Indian language speech data from remote districts. The institute needed spontaneous speech across ages 20–70, diverse dialects and demographics, strict 16 kHz/16-bit audio specs, and rigorous transcription standards — all within a tight timeline of under five months.

Shaip delivered end-to-end Audio Data Collection and Audio Transcription services, mobilizing collectors, linguists and annotators to collect 8,000 hours of audio from 80 districts and transcribe 800 hours with full QA, consented metadata and JSON deliveries. The dataset and validated transcriptions enabled the client to train multilingual ASR models for digital inclusion and governance use cases, meeting the project timeline and quality benchmarks.