Automated Language & Speaker Change Detection, prof. itshak lapidot, dr. or haim anidjar

Automated Language & Speaker Change Detection

A groundbreaking study aims to revolutionize how we detect changes in language and speaker identity in audio recordings. With the exponential growth of speech data in surveillance, forensics, and digital communications, manual analysis has become impractical.

Why It Matters:

  • Critical for video surveillance & forensics
  • Enables advanced speech-to-text accuracy
  • Foundational for unsupervised speech tech
  • Addresses the challenge of massive unprocessed conversational data

Research Objective: Develop an automated system for real-time detection of language and speaker changes, leveraging advanced speech recognition methods.

Expected Impact: This work could transform how we process multilingual conversations and speaker transitions, particularly benefiting fields requiring precise audio analysis.