saybench
Benchmark the full voice-AI pipeline on your own audio — STT (batch + streaming), LLM TTFT, speech-to-speech, and TTS. WER by failure mode, keyterm recall, real-time-paced latency, cost columns, a CI regression gate, and an MCP server for coding agents.
Description supplied by the publisher; it is a claim, not verified evidence.
- Name
- github:renan-martini/saybench
- Listed in
- GitHub
- Publisher
- @renan-martini
- Published
- 2026-09-09
- License
- MIT
- Evidence
- Listed only, not analyzed yet
Source: https://github.com/renan-martini/saybench
What a full analysis of saybench checks
Not checked yet. About 60 tools are analyzed every hour; each check links to its source when it runs:
- Publisher identity: not checked yet
- Repository ownership: not checked yet
- Organization verification: not checked yet
- Artifact provenance: not checked yet
- Source availability: not checked yet
- Version evidence: not checked yet
- Known vulnerabilities: not checked yet
- Install scripts: not checked yet
- Maintenance: not checked yet
- License: not checked yet
Before you install it
- Open the repository and confirm the account is the one you expect: look-alike names are common.
- Read what it asks for: files, accounts, network access and credentials it needs.
- Prefer a version from a verified publisher when one exists.