Resonate is an open-source algorithm designed to evaluate perceptually relevant spectral information from audio and other signals with low latency and minimal memory usage. It uses a resonator model and exponentially weighted moving average for efficient, real-time signal analysis. Ideal for researchers and developers in audio signal processing.
Resonate sits in PulseGate's Frameworks & SDKs category. It focuses on extracting perceptually relevant spectral information from audio signals with minimal computational resources. It is built as an open-source project for audio signal processing researchers. Resonate is open source under the MIT license. The product ships for the web and API, and it can be self-hosted.
Alexandre R.J. François builds and maintains Resonate, and the product first shipped in 2022. Development happens publicly on GitHub with 45 stars and 1 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Resonate occupies a relatively distinct niche. Key capabilities include low latency, low memory footprint, and spectral analysis.
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