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  Adobe's Premiere Pro editing software now automatically removes filler words like "uh" and "um" from speech recordings. Powered by AI, this lets video creators polish interviews faster. It builds on existing speech-to-text features that generate transcripts. Adobe wants to help people focus more on storytelling instead of repetitive editing tasks. The new automated filler removal will roll out soon. Using advanced textual analysis, Adobe's flagship video editing software Premiere Pro now offers the automatic removal of filler words during speech editing. The new capability helps content creators polish interviews and presentations by taking out unintended pauses and repeated words. Powered by Adobe Sensei, Premiere Pro scans speech recordings to detect fillers. Editors can then choose to automatically delete all instances or manually select which ones to omit. This streamlines the editing process and improves speech flow. Adobe touts the feature as a time-saver for documentary filmmakers, corporate video producers, news media and social creators. Removing filler words also helps make educational and marketing content more concise and engaging. The automated filler removal joins Premiere Pro's existing speech-to-text engine. It generates time-coded transcripts from video, allowing text edits to manipulate footage. Adobe says these speech-focused tools make Premiere Pro the most comprehensive video editing solution for the refinement of spoken audio. With AI tackling repetitive tasks like filler removal, editors can devote more effort to creative decisions. Premiere Pro product manager Steve Forde says Adobe wants to "empower people to focus on storytelling" instead of technical processes. Adobe plans to reveal more about the new speech features at its Adobe MAX creative conference in October. The capabilities expand Premiere Pro's suite of timesaving AI-powered tools like automated re-framing, colour matching and audio cleanup. Highlights: - Premiere Pro can now automatically delete filler words like "um" from speech recordings - It uses AI to scan transcripts and identify unintended pauses and repetitions - Streamlines editing interviews, presentations and other spoken content - Complements existing speech-to-text feature that creates transcripts - Helps creators focus more on storytelling instead of repetitive editing   Adobe's new automated speech polishing capabilities in Premiere Pro could be a game-changer for efficient video editing. As AI takes on time-consuming tasks like filler word removal, it enables creators to devote energy to engaging storytelling instead of technical drudgery. What other production bottlenecks could be eased by machine learning? I'm keen to see users' real-world feedback on these promising new features. How does automating repetitive edits affect your creative process? Let's discuss the pros and cons.