Piper Bowen
AI Transcriptionist at transcribeall.io
Piper Bowen is a PhD candidate in Speech and Language Processing at MIT, focusing on robust ASR for low-resource languages and speaker diarization in real-world audio. Her work bridges acoustic modeling and practical transcription workflows. Deep experience. Intellectual curiosity.
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Recent articles by Piper Bowen
- Markov random fields: Structure learning I September 18, 2026
- Convert Video to Audio for Transcription: Mono WAV Cuts Word Error Rate 25% vs MP4 September 15, 2026
- Noisy field interviews: cut errors 38.2% to 15.1% with second mic September 12, 2026
- Interview Transcription Verbatim vs Clean 2026: $0.25 vs $1.79 Default AI September 9, 2026
- Human Transcription Cost: $0.80 vs $0.32 Hybrid When to Pay 2026 September 5, 2026
- 30s Truncation Trap: 27.3% to 11.8% cpWER Pyannote 3 Win September 4, 2026
- Quantized Whisper-small vs large-v2: 10dB Draft, Offline Win September 2, 2026
- Whisper at 680,000 Hours: WER Trade-offs Below 15 dB SNR September 1, 2026