{"ID":6536316,"CreatedAt":"2026-07-14T01:21:01.169441415Z","UpdatedAt":"2026-07-14T01:36:59.12045529Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.10086","arxiv_id":"2607.10086","title":"WaveNet-Style Guitar Amplifier Model Pruning for Real-Time iOS Deployment","abstract":"WaveNet-style convolutional networks emulate tube amplifiers and distortion pedals with high fidelity, but their computational cost has confined them to desktops or dedicated DSP hardware. We present a sparse-enabled WaveNet inference engine for iOS that runs heavily pruned neural guitar amplifier models in real time on iPhones. Aggressive iterative magnitude pruning removes 90% of the network weights with no perceptible loss in quality. A custom sparse C++ engine turns this sparsity directly into compute savings, sustaining low-latency real-time operation on a CPU-only iPhone implementation where the dense model cannot. On-device output matches the trained model to within int16 quantization error. At the demonstration, visitors will play a guitar through the app on iPhone hardware and A/B the on-device pruned model against the physical pedal it emulates. Source code and audio examples are available at https://github.com/ryos17/wavenet-imp.","short_abstract":"WaveNet-style convolutional networks emulate tube amplifiers and distortion pedals with high fidelity, but their computational cost has confined them to desktops or dedicated DSP hardware. We present a sparse-enabled WaveNet inference engine for iOS that runs heavily pruned neural guitar amplifier models in real time o...","url_abs":"https://arxiv.org/abs/2607.10086","url_pdf":"https://arxiv.org/pdf/2607.10086v1","authors":"[\"Ryota Sato\",\"Eli Silverstein\"]","published":"2026-07-11T02:53:10Z","proceeding":"eess.AS","tasks":"[\"eess.AS\",\"cs.SD\",\"eess.SP\"]","methods":"[]","has_code":false,"code_links":[{"ID":614157,"CreatedAt":"2026-07-14T01:21:01.169441415Z","UpdatedAt":"2026-07-14T01:21:01.169441415Z","DeletedAt":null,"paper_id":6536316,"paper_url":"https://arxiv.org/abs/2607.10086","paper_title":"WaveNet-Style Guitar Amplifier Model Pruning for Real-Time iOS Deployment","repo_url":"https://github.com/ryos17/wavenet-imp","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}