Convert audio sample rates with anti-aliasing and interpolation methods.
npx skills add https://github.com/SpiralCloudOmega/DevTeam6 --skill sample-rate
Please help me install this Agent Skill. Skill: sample-rate Source: https://github.com/SpiralCloudOmega/DevTeam6/tree/main/.github/skills/audio-dsp/sample-rate Command: npx skills add https://github.com/SpiralCloudOmega/DevTeam6 --skill sample-rate
The skill clarifies Nyquist requirements and provides methods for accurate sample-rate conversion, reducing aliasing and artifacts in digital audio workflows.
Provide a target sample rate and an interpolation method, then run the conversion on your audio data.
High-intent search queries and answers about installing and using this skill.
An anti-aliasing filter removes frequencies above the Nyquist limit before downsampling. This skill provides accurate sample-rate conversion using interpolation methods like linear, cubic, or sinc to prevent aliasing and preserve audio quality.
The best interpolation method for sample-rate conversion depends on your fidelity needs. This skill outlines techniques including zero-order hold, linear, cubic, and sinc interpolation, with polyphase methods preferred for high-quality mastering workflows.
Oversampling increases the Nyquist frequency to prevent aliasing generated by nonlinear processing. This skill provides oversampling guidance to reduce artifacts, ensuring accurate digital audio processing across DAWs and plugins.
The Nyquist-Shannon theorem dictates that anti-aliasing filters must remove frequencies above half the target sample rate. This skill clarifies these requirements to ensure reliable sample-rate conversion and prevent digital audio artifacts.
Yes, this sample-rate conversion approach applies to real-time audio processing workflows across DAWs and plugins. It supports accurate format conversion and anti-aliasing filtering required for live audio manipulation.
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