Sine Wave Speech, a real-time audio effect in Rust->WASM

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Source code: https://github.com/vvolhejn/sine_wave_speech An interactive website for exploring how human speech can be reduced to just a few sine waves and still be intelligible - or at least recognized to be a human voice. On top of that, I've added various ways to make the sound more musical. The sound effect is based on research from the 80s, which has largely been forgotten by then. To have the effect run in real-time in the browser, I opted to use Rust compiled into WebAssembly. Still, I had to rewrite some linear algebra routines. More about that experience in the blog post: https://vvolhejn.com/2024/11/16/sinewavespeech-com-live.html

Visit product View on Hacker NewsDec 28, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, code · Missing: mac, agents, macos

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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