Soniqo
Official@soniqo · Germany
Realtime conversational voice AI.
Agent Skills by Soniqo
Showing 3 vetted skills indexed across 1 GitHub repositories.
soniqoreview-pr
Reviews pull requests for architecture fit, security risk, test coverage, and merge readiness.
soniqobenchmark
Benchmark on-device ASR, TTS, VAD, and diarization latency and efficiency.
soniqotest
Run Swift unit or end-to-end test suites against a local codebase.
Frequently Asked Questions About Soniqo
FAQPage SchemaWhat specific performance metrics can be measured using Soniqo?▼
Soniqo enables precise measurement of latency and efficiency for on-device Automatic Speech Recognition, Text-to-Speech, Voice Activity Detection, and speaker diarization. These benchmarks allow developers to quantify the real-time responsiveness and resource consumption of speech-processing components directly on target hardware.
Which developers should utilize these testing capabilities?▼
Mobile engineers and speech-processing researchers working within the Swift ecosystem should utilize these capabilities. It is specifically designed for teams building local, privacy-focused voice applications who require rigorous performance validation and reliable unit testing for their codebase.
What are the prerequisites for running these benchmarks and tests?▼
Execution requires a local Swift-based codebase and a development environment configured for mobile target deployment. Users must integrate the benchmarking and testing modules directly into their project structure to interface with the local speech-processing components and execute the validation suites.