All Programs
Sacred Audio Restoration
CompletedRestoring hundreds of hours of rare Buddhist teachings using neural audio processing
2025Supported by Tsadra Foundation
Overview
A seven-week project using neural speech enhancement and digital signal processing to restore 551 audio files comprising 371 hours of teachings by Kyabje Dilgo Khyentse Rinpoche — one of the most influential Tibetan Buddhist masters of the 20th century. Every file received manual quality assurance. The project handled severe technical challenges including 3-bit audio anomalies, corrupted files, sample rate mismatches, and unsupported legacy formats.
551
Files Restored
371
Hours of Teachings
4
Source Collections
7 weeks
Duration
How It Works
1
Neural speech enhancement to improve clarity and remove decades of noise, distortion, and reverb
2
Digital signal processing with cloud GPU infrastructure for batch processing
3
Manual QA on every single file — no automated-only outputs
4
Format standardization across 4 source collections with varying codecs and sample rates
5
Weekly progress reports submitted to Tsadra Foundation
Methodology
Combined neural speech enhancement models with traditional DSP techniques. Cloud GPU infrastructure for batch processing. All restored files delivered to Tsadra Foundation's NAS system with a final report.