SttEfficacyScorer
Scores transcript fidelity vs spoken audio (1-10). Parses JSON score and reasoning; metadata may include wer_estimate, omissions, hallucinations, substitutions, severity when returned by the model.
Overview
Scores transcript fidelity vs spoken audio (1-10). Parses JSON score and reasoning; metadata may include wer_estimate, omissions, hallucinations, substitutions, severity when returned by the model.
Use Cases
- General AI evaluation and quality assessment
How It Works
This scorer uses LLM-as-Judge technology to evaluate responses. It prompts a large language model with specific evaluation criteria and the content to assess, then analyzes the LLM's judgment to produce a score and detailed reasoning.
Input Schema
| Parameter | Type | Required | Description |
|---|---|---|---|
| model | any | Yes | - |
| stt_data | any | Yes | - |
| stt_data.metadata | any | Yes | - |
Output Schema
| Field | Type | Description |
|---|---|---|
| score | any | - |
| passed | any | - |
| reasoning | any | - |
| metadata | any | - |
Score Interpretation
Related Scorers
SttOverSuppressionScorer
Pairwise over-suppression detector. Two physics-grounded signals: musical noise (per-bin temporal-ku...
Voice & AudioAgentWpmScorer
Agent speaking rate (words per minute) from assistant turn text and VAD-gated agent speech time. con...
Voice & AudioAiInterruptUserScorer
Counts agent barge-in events (agent starts speaking while user utterance is open). Zero events → 10....
Voice & AudioAssistantAveragePitchScorer
Mean fundamental frequency (Hz) on the assistant channel using librosa yin, mapped to 1-10 for thres...
Frequently Asked Questions
When should I use this scorer?
Use SttEfficacyScorer when you need to evaluate stt_efficacy and audio aspects of your AI outputs. It's particularly useful for general ai evaluation and quality assessment.
Why doesn't this scorer need expected output?
This scorer evaluates without a reference answer by using the specific input fields listed in its schema. Those fields are evidence for the check; they are not automatically factual ground truth.
Can I customize the threshold?
This scorer's displayed default threshold is 7. Where the eval-job configuration exposes a threshold, review it against the scorer's native scale before saving. The stored pass decision uses that scorer-specific configuration.
Quick Info
Ready to try SttEfficacyScorer?
Start evaluating your AI agents with Noveum.ai's comprehensive scorer library.
Explore More Scorers
Discover 112 published scorers across 15 categories: 82 Premium, 30 Free, 76 model-backed, and 36 dedicated voice and audio scorers