aidataservices.inAI data collection · India

Call-centre speech · Code-Switching ASR

Call Centre Speech Data for Code-Switching ASR

Simulated and consented real-world contact-centre audio in Indian languages, recorded over telephony-grade channels so it matches the bandwidth your production system actually sees. Applied to code-switching asr, the specification is driven by one thing: switch-point accuracy.

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Contact centre agents generating call centre speech data — Call Centre Speech Data for Code-Switching ASR
Service
Call-centre speech
Use case
Code-Switching ASR
Primary metric
Switch-point accuracy
01

Required data profile

  • Genuinely code-mixed spontaneous speech
  • Per-token language ID labels
  • A fixed rule for script of English tokens
Call-centre speech — Code-Switching ASR · written into the SOW before recordingChannel8 kHz narrowband telephony plus 48 kHz reference where requ…CodecG.711 / Opus simulated to match your stackStructureAgent and customer on separate channelsScenariosBilling, delivery, KYC, recharge, collections, support, sal…EmotionNeutral, frustrated and escalated variants on requestYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
Channel8 kHz narrowband telephony plus 48 kHz reference where required
CodecG.711 / Opus simulated to match your stack
StructureAgent and customer on separate channels
ScenariosBilling, delivery, KYC, recharge, collections, support, sales
EmotionNeutral, frustrated and escalated variants on request
Studio-grade voice recording session for text-to-speech training data — supporting call centre speech data for code-switching asr
Studio-grade voice recording session for text-to-speech training data
03

Process

  • Scenario library built from your call taxonomy
  • Agent-side speakers briefed on your script and tone
  • Recording over the specified codec path
  • Transcription with intent and outcome labels
  • Delivery with per-scenario counts
04

Metrics this feeds

  • Switch-point accuracy
  • Mixed-utterance WER
  • Language ID token accuracy
05

Failure modes to design out

  • Concatenating monolingual data and calling it code-mixed
  • Leaving script conventions to individual annotators

Narrowband is simulated at capture time, not by downsampling clean studio audio, which would leave unrealistic artefacts.

06

Deliverables

  • Dual-channel call audio
  • Verbatim transcripts
  • Intent, outcome and sentiment labels
  • Scenario coverage matrix

Frequently asked

Is call-centre speech 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 call-centre speech for code-switching asr

Send the metric you need to move.

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