13 expert articles about speaker identification from our AI transcription insights and tutorials
For best overall speaker identification results, ask each speaker to identify themselves when the meeting starts. This simple 30-second practice saves hours of post-transcription work and dramatically improves accuracy.
Read More →Complete guide to transcript formats for multi-speaker content. Learn SRT, VTT, TXT, and JSON formats with speaker labels. Includes code examples, conversion methods, and best practices for subtitles, video editing, and software integration.
Read More →Fix speaker identification errors in your transcripts. Solutions for speaker labels switching mid-conversation, too many speaker labels, similar voices labeled incorrectly, and other common speaker diarization problems.
Read More →Can't tell who said what in your transcript? Learn how to get speaker names in transcripts instead of generic labels like 'Speaker 0' and 'Speaker 1'. Solutions for meetings, interviews, podcasts, and group discussions.
Read More →Step-by-step guide to transcribing audio with multiple speakers. Compare AI transcription services, free open-source tools, and manual methods. Learn how to separate speakers, improve accuracy, and troubleshoot common issues.
Read More →Compare the best speaker diarization models: Pyannote, NEMO, WhisperX, and more. Accuracy benchmarks, speed tests, and implementation guide. Updated 2025.
Read More →Learn how to add speaker diarization to OpenAI Whisper. Complete tutorial with Python code + comparison to professional services. Try BrassTranscripts free.
Read More →Speaker diarization automatically identifies who said what in audio recordings. Learn how it works, when to use it, and try it free with BrassTranscripts.
Read More →Learn how speaker identification works and automatically identify who said what in audio recordings. Accurate speaker names in minutes with BrassTranscripts.
Read More →Discover why professionals choose BrassTranscripts for audio and video transcription: no subscriptions, 94.1% speaker accuracy, 2-minute processing, $0.15/minute pricing, and 65 free AI prompts to transform your transcripts.
Read More →Complete answers to the most-asked speaker diarization questions from Google's People Also Ask: speaker identification, software tools, accuracy improvement, technical implementation, and practical use cases.
Read More →Complete AssemblyAI pricing breakdown: Universal model ($0.0025/min base), 15+ individually-priced add-on features that stack costs, real cost calculations, and a simpler $0.15/min alternative with no feature upsells.
Read More →Panel discussions, focus groups, and team meetings create speaker attribution nightmares. Learn the exact techniques professionals use to fix speaker identification errors and maintain accurate multi-speaker transcripts.
Read More →Get accurate, AI-powered transcripts with speaker identification in minutes.
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