Full narration and complete editing of the audiobook "The Dark Psychology Bible" with the features, quality, and optimal format required by ACX standards voiceover
- Audio Engineer
- Sound Editor
- Voiceover Artist
I’m Álvaro Segura, an Audio Engineer and Production Manager with 10+ years of experience across audio post-production, voice processing, and AI training.
I’m Álvaro Segura, an Audio Engineer and Production Manager with 10+ years of experience across audio post-production, voice processing, and AI training. I lead production efforts that keep final audio quality consistent and reliable across large volumes of projects, while also improving throughput through smarter workflows and pipeline efficiency.
I specialize in speech synthesis optimization, audio mastering for digital platforms, and detailed audio quality analysis—like acoustic and phonetic review of voice data to spot issues that impact intelligibility and naturalness. I also collaborate closely with teams to schedule releases, provide clear feedback, and deliver high-quality audio at scale using tools like Reaper, Adobe Audition, and iZotope Ozone/Neutron, ensuring every deliverable meets deadlines.
Full narration and complete editing of the audiobook "The Dark Psychology Bible" with the features, quality, and optimal format required by ACX standards voiceover
Provided end-to-end audio editing, mixing, and mastering for multiple digital platforms and requirements. Worked on noise reduction, click removal, reverb reduction, equalization, breath control, de-essing, compression, and mastering for services including Spotify, Apple Music, and ACX Audio.
Ensured final product quality across 200+ audio projects while consistently meeting 100% of delivery deadlines. Scheduled and coordinated releases, and oversaw/editing team performance through coaching and motivation. Built client relationships and improved work turnaround times. Performed detailed acoustic and phonetic analysis on voice data, annotating timbre, pitch, fricatives, and articulation anomalies to enhance AI speech synthesis quality, contributing to training data improvements and model optimization via structured feedback.
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