oruk_analyze_speech
shallowai.oruk/speech · Verify this server
Transcribe English audio AND score how it was said in one call: transcript, tagged transcript, calibrated emotion (15 labels) and speaking-style (16 labels) scores, and time-local segments. Use this when the user cares about both the words and the delivery — meetings, support calls, interviews, voice notes. Accepts a public audio URL or base64 bytes (wav/flac/mp3/m4a/ogg/webm, ≤30 MB / ≤60 min). Returns compact summaries by default. For words only use oruk_transcribe_audio; for tone only use oruk_analyze_tone.
1 trials · measured 8 days ago
oruk_analyze_speech scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.oruk/speech, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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[](https://vouch.tools/tools/8f71c48b-2520-4359-8887-642291e0dfe0)