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Speech data collection · IVR & Voice Bots

Speech Data Collection for IVR & Voice Bots

Recruited-speaker speech corpora recorded to a written specification: scripted prompts, spontaneous monologue, or both, with full speaker metadata. Applied to ivr & voice bots, the specification is driven by one thing: intent accuracy.

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Contact centre floor used for IVR and voice bot data collection — Speech Data Collection for IVR & Voice Bots
Service
Speech data collection
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
Speech data collection — IVR & Voice Bots · written into the SOW before recordingSample rate48 kHz capture, delivered at 48/16 kHz as requiredBit depth24-bit capture, 16-bit PCM deliveryFormatWAV (PCM), one file per utterance or per sessionChannelsMono per speaker; multi-channel on requestNoise floorStudio sessions below -50 dBFS; field sessions specified pe…Your values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
Sample rate48 kHz capture, delivered at 48/16 kHz as required
Bit depth24-bit capture, 16-bit PCM delivery
FormatWAV (PCM), one file per utterance or per session
ChannelsMono per speaker; multi-channel on request
Noise floorStudio sessions below -50 dBFS; field sessions specified per project
ClippingZero tolerance; clipped takes are re-recorded, not repaired
Structured dataset packages ready for delivery — supporting speech data collection for ivr & voice bots
Structured dataset packages ready for delivery
03

Process

  • Requirement lock: languages, hours, speaker count, demographic quotas, recording conditions
  • Prompt design and linguistic review by native reviewers
  • Speaker recruitment and screening against quota, with consent capture
  • Recording sessions with real-time level and prompt-coverage monitoring
  • Automated technical QA on every file (SNR, clipping, duration, silence)
  • Native-speaker content QA on a defined sample, escalating to 100% on failure
  • Packaging, manifest generation and delivery
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

Every file passes automated technical checks. Content QA is sampled at 10% by default and raised per batch when the failure rate crosses the agreed threshold.

06

Deliverables

  • Audio files in the agreed format and naming convention
  • Per-utterance manifest (speaker ID, prompt ID, duration, condition)
  • Speaker metadata: age band, gender, region, dialect, education band
  • Consent records mapped to speaker IDs
  • QA report with pass rates and rejection reasons

Frequently asked

Is speech data collection 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 speech data collection for ivr & voice bots

Send the metric you need to move.

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