aidataservices.inAI data collection · India

Voice evaluation · IVR & Voice Bots

AI Voice Evaluation for IVR & Voice Bots

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 ivr & voice bots, the specification is driven by one thing: intent accuracy.

Request a dataset quoteReply within one working day
Evaluator scoring AI voice output against a rubric — AI Voice Evaluation for IVR & Voice Bots
Service
Voice evaluation
Use case
IVR & Voice Bots
Primary metric
Intent accuracy
01

Required data profile

  • Telephony-bandwidth audio
  • Dual-channel calls
  • Intent-labelled utterances against a live taxonomy
Voice evaluation — IVR & Voice Bots · written into the SOW before recordingTTSMOS (1-5), MUSHRA, and A/B preference protocolsASRError typing: substitution, deletion, insertion, code-switc…PanelNative speakers of the target variety, screened and calibra…Sample sizePowered per the effect size you need to detectReportingPer-item scores plus aggregate with confidence intervalsYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
TTSMOS (1-5), MUSHRA, and A/B preference protocols
ASRError typing: substitution, deletion, insertion, code-switch failure
PanelNative speakers of the target variety, screened and calibrated
Sample sizePowered per the effect size you need to detect
ReportingPer-item scores plus aggregate with confidence intervals
Audio waveforms being prepared as ASR training data — supporting ai voice evaluation for ivr & voice bots
Audio waveforms being prepared as ASR training data
03

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
04

Metrics this feeds

  • Intent accuracy
  • Containment rate
  • Barge-in handling
05

Failure modes to design out

  • Studio audio downsampled to fake telephony
  • Scripted callers who never interrupt
  • Intent sets written by product, not derived from real calls

Attention checks and reference anchors are embedded so unreliable raters are detected and excluded before analysis.

06

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 ivr & voice bots?

It covers telephony-bandwidth audio. Most ivr & voice bots 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 ivr & voice bots

Send the metric you need to move.

Request a dataset quote