Voice evaluation · Code-Switching ASR
AI Voice Evaluation for Code-Switching ASR
Human evaluation of your speech models: MOS and preference testing for TTS, WER-in-context review for ASR, and native-speaker judgement on naturalness and intelligibility. Applied to code-switching asr, the specification is driven by one thing: switch-point accuracy.
- Service
- Voice evaluation
- Use case
- Code-Switching ASR
- Primary metric
- Switch-point accuracy
Required data profile
- Genuinely code-mixed spontaneous speech
- Per-token language ID labels
- A fixed rule for script of English tokens
Technical specification
| Parameter | Standard |
|---|---|
| TTS | MOS (1-5), MUSHRA, and A/B preference protocols |
| ASR | Error typing: substitution, deletion, insertion, code-switch failure |
| Panel | Native speakers of the target variety, screened and calibrated |
| Sample size | Powered per the effect size you need to detect |
| Reporting | Per-item scores plus aggregate with confidence intervals |
Process
- Protocol design and sample-size calculation
- Panel recruitment and calibration on reference items
- Blind evaluation with attention checks
- Statistical analysis
- Report with per-error-type breakdown
Metrics this feeds
- Switch-point accuracy
- Mixed-utterance WER
- Language ID token accuracy
Failure modes to design out
- Concatenating monolingual data and calling it code-mixed
- Leaving script conventions to individual annotators
Attention checks and reference anchors are embedded so unreliable raters are detected and excluded before analysis.
Deliverables
- Raw per-rater scores
- Aggregated results with confidence intervals
- Error-type analysis
- Recommended fix priorities
Frequently asked
Is voice evaluation the right service for code-switching asr?
It covers genuinely code-mixed spontaneous speech. Most code-switching asr programmes combine it with at least one other service; we will say so in the scope rather than selling one line item.
What languages are available?
All 14 languages in the network plus Indian English accent bands.
How is the evaluation set handled?
Collected first, from speakers disjoint from the training cohort, so improvement is measurable.
Scope voice evaluation for code-switching asr
Send the metric you need to move.