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Audio AI: classification, speaker ID & diarisation | Sri AI
AI: Language & Voice AI

Audio AI: classification, speaker ID & diarisation | Sri AI

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Course overview

Beyond words: recognising sounds, telling speakers apart and working out who spoke when in a meeting recording.

Level: Advanced  ·  Mode: Evenings, online

Who this course is for

Engineers working with recordings, call centres and monitoring systems.

What you will learn

  • Classify sounds and audio events
  • Identify and verify speakers
  • Split a recording by speaker
  • Build meeting-minute pipelines

Syllabus

  1. Module 1: Audio features
  2. Module 2: Sound classification
  3. Module 3: Speaker identification
  4. Module 4: Diarisation
  5. Module 5: Meeting transcription pipeline

Final project

Every module ends in hands-on practice, and the course ends with a project you build and present. Your certificate names that project.

Before you start

Speech-to-text with open models.

Open-source tools you will use

Adapts the Hugging Face Audio Course (Apache-2.0).

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