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
- 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
- Synthetic TTS Data for Low-Resource ASR: A Wolof Case Study August 30, 2026
- Whisper large-v3 Across 6 Accents: What the Leaderboard Shows August 29, 2026
- Claude's 5-Hour Window vs. Batch API: Long-Audio Token Cost August 27, 2026
- 2026 Benchmark: HLS AAC Adds 2.6% WER, 1.1% DER vs WAV August 26, 2026
- Whisper-large-v3 vs Scribie: Two Scoreboards, No Winner August 24, 2026