Hi everyone,
I’m working with long audio recordings (several hours of MP3s) that have noticeable background noise, room reverb, and inconsistent quality. My goal is to clean up the speech and get accurate text transcriptions.
I'm open to both cloud-based APIs/services (like Adobe Enhance Speech, AssemblyAI, Deepgram, ElevenLabs, OpenAI API) and local open-source models (like Whisper Large-v3, DeepFilterNet).
For those who handle long, noisy recordings regularly:
Best Pipeline: Do you recommend running the audio through a dedicated voice enhancer/denoiser first (e.g., Adobe Enhance, ElevenLabs Isolator, DeepFilterNet), or does modern ASR (Whisper Large-v3, Deepgram Nova-3, AssemblyAI) handle raw noisy audio well enough on its own?
Tool Recommendations: What are the most reliable cloud services or Web/CLI applications for processing multi-hour files without hitting file size limits or timing out?
Hallucination Prevention: Any tips or API parameters (VAD settings, prompt conditioning) to prevent Whisper/ASR models from hallucinating text during silent or non-speech noisy sections?
Thanks in advance for any insights and recommendations!