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User seeks faster Pyannote alternatives for Whisper diarization

A user on Reddit is seeking faster alternatives to the Pyannote library for audio diarization when used with OpenAI's Whisper model. The current setup, using Pyannote with Whisper Base on a CPU, results in a diarization process that takes significantly longer than the transcription itself. The user is looking for quicker methods or optimizations to improve the speed of Pyannote's performance in conjunction with Whisper. AI

IMPACT This query highlights a common challenge in optimizing AI workflows for speed and efficiency, particularly for audio processing tasks.

RANK_REASON User query about optimizing existing tools, not a new release or significant industry event.

Read on r/OpenAI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User seeks faster Pyannote alternatives for Whisper diarization

COVERAGE [1]

  1. r/OpenAI TIER_2 English(EN) · /u/bidutree ·

    Faster alternatives to Pyannote on Whisper?

    <!-- SC_OFF --><div class="md"><p>I am running Faster Whisper on CPU only and get good running times with about 2.5 min for 60 min sound with Whisper Base. With Pyannote for diarization the rate is about 0.9 times the sound length, aka 54 min for 60 min sound.</p> <p>That is terr…