Paperopenalex
Transcribing Lateral Podcast Episode 68: Diarization vs Manual Labels for 3+ Voices
Piper Bowen · Zenodo (CERN European Organization for Nuclear Research) 2026 · 2026
DOI: 10.5281/zenodo.23466182
0citations
Speech Recognition and SynthesisSpeech and Audio ProcessingSpeech and dialogue systemsMirroringSpeaker diarisationSpeech recognition+2
Zenodo (CERN European Organization for Nuclear Research)RepositoryCitations by source
Synced 2026-10-31T02:33:00.186539Z0OpenAlex · primary0Semantic Scholar0Crossref
Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).
Abstract
For 3+ voices, run diarization first, then manually map speaker names and fix overlapping speech. Amazon Transcribe supports up to 30 unique speakers. Independent technical note mirroring the canonical version: https://transcribeall.io/blog/transcribing-lateral-podcast-episode-68-diarization-vs-manual-labels-for-3-voices.php
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