Transcripts

Production of Nondramatic Literary Works that constitute Fixed Copies of spoken Sound Recordings of Dramatic Compositions

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Full Transcripts
AssemblyAI
Speech-to-Text
Diarized
Speaker Labels
Word-Level
Timestamps

The Statue of Thor

The Witch's Tale1931-05-213 speakers
00:00
Nancy
Good evening, pilgrims. This is Old Nancy, and I'm going to tell you a tale of the supernatural that will chill your blood and freeze your very soul.
00:32
Old Man
I tell you, something's wrong with that statue. It watches me at night. I can feel its eyes burning into my back.
01:15
Nancy
The old man didn't know then that the ancient Norse god had been awakened by his greed. The statue was more than stone and metal—it was a prison.
02:48
Thor
You have disturbed my slumber, mortal. For this transgression, you shall pay with your very soul!

Transcription Methodology

Automated Processing

  • • AssemblyAI speech-to-text engine
  • • Speaker diarization and identification
  • • Timestamp generation (word-level)
  • • Confidence scoring per segment
  • • Entity recognition (persons, places)

Quality Assurance

  • • Manual review of low-confidence segments
  • • Cross-reference with episode scripts
  • • Verification of historical names and terms
  • • Period-appropriate spelling preservation
  • • Archive-grade annotation standards

Research Applications

Searchability

Full-text search across entire archive enables researchers to find specific dialogue, themes, or references within thousands of hours of audio.

Linguistic Analysis

Computational analysis of vocabulary, syntax, and speech patterns provides insights into mid-century American English and regional dialects.

Accessibility

Transcripts provide access to audio content for researchers with hearing impairments and enable translation into other languages.