Executive Summary

Many viewers and creators are annoyed by distracting mouth noises (chewing, lip smacks, heavy breathing) that reduce perceived quality and can hurt retention—this is a pain felt across the estimated 200M heavy-streaming households and by creators who spend hours editing small audio issues. Platforms also get user complaints and micro-dropoffs from these edge-case annoyances, which cumulatively matter in the attention economy. You could build a smart fast-forward control that detects objectionable mouth-noise segments with multimodal models and either auto-skips, seamlessly accelerates, or flags them for creators; offer it as an on-device, privacy-preserving playback feature and a creator tooling plugin with adjustable sensitivity and manual review tools. The UX would prioritize smooth transitions and user control to avoid jarring edits. The market is attractive now: roughly a $6.0B addressable market (200M households × $30 ARPU/year for playback/UX enhancements and creator tooling) and growing platform demand for AI-assisted editing and playback features, so timing aligns with broader investments in AI and low-latency on-device inference. Small UX improvements that reduce friction can meaningfully impact engagement and monetization across subscription and ad-supported services. You can differentiate by shipping high-precision multimodal detection, conservative default behavior, and tight latency/privacy guarantees—e.g., targeting >90% precision and <100ms inference on mid-range devices to avoid false skips and UX churn. The main challenges are robustness across languages/recording conditions, avoiding harmful over-skipping, and winning publisher trust, but if you solve those technically and operationally this is a defensible, commercially promising feature.

Market Opportunity

Auto-skip objectionable mouth-noise scenes with a smart fast-forward control targets a $6.0B = 200M heavy-streaming households × $30 ARPU/year for playback/UX enhancements and creator tooling total addressable market with medium saturation and a year-over-year growth rate of 8-12% annual growth in streaming/creator tools and UX monetization (sources: industry streaming growth estimates, creator economy reports).

Key trends driving demand: Trend — creators and platforms are investing in AI-assisted editing and playback features, creating demand for automation that improves viewer experience.; Trend — multimodal models and efficient on-device inference reduce latency and privacy concerns, enabling real-time detection on consumer devices.; Trend — attention economy pressures platforms to reduce friction and edge-case annoyances (e.g., mouth noises), making playback-level UX features commercially interesting.; Trend — rising creator monetization and short-form clip ecosystems create a market for automated artifact removal to speed content production..

Key competitors include Descript, Adobe Audition / Premiere (audio cleanup features), SilentSkip (browser extension, hypothetical niche competitor).

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Auto-skip objectionable mouth-noise scenes with a smart fast-forward control

Executive Summary

Market Validation

Market Opportunity

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