audio transcription
Conversion of spoken language into written text, typically using automatic speech recognition (ASR) systems. Enables accessibility, content indexing, and analysis of audio sources.
Key Applications
- Accessibility: Subtitles for videos, transcriptions for hearing-impaired users
- Content Analysis: Extracting insights from interviews, meetings, or podcasts
- Searchability: Making audio content searchable via text
Tools & Integration
- NotebookLM: Generate audio overviews (e.g., “Brief” summaries) from sources; download audio → re-upload as source → generate transcript
- Elevate Labs: Modify voice characteristics of generated audio (see changing voice workflow)
- Automatic Speech Recognition: Core technology powering most transcription services
- Whisper AI (via Google Colab): Open-source ASR model; free, high accuracy, no downloads required. Video tutorial
Changing Voice with Elevate Labs (NotebookLM Workflow)
- Generate audio overview in notebooklm from sources
- Download audio file → re-upload to notebooklm as new source
- Use Elevate Labs to modify voice characteristics (e.g., pitch, tone) of the audio
- Video demonstration
Note: Elevat
Backlink: 2026 04 14 Elle wang audio to text transcription