Voice Testing

Is Your Voice Bot Mishearing Real Users?

Let's make every utterance count.

Validate IVR flows, voice bots, and speech recognition accuracy across accents, noise conditions, and edge-case intents - so your voice product never lets a caller down.

voice-ivr-test-runner ● REC
IVR Flow — Outbound Billing Call
Welcome prompt played 120ms
DTMF / speech input — "1 for billing" 380ms
Speech recognition → intent routing ...
TTS response — account balance
Escalation path — live agent
ASR Transcript — Live
BOTWelcome to FrugalBank. Press 1 for billing.
USERI'd like to cheque my balance conf: 0.71 ⚠
ASRRouting to billing…
Voice Test Report — Run #48
VoiceCheck Sprint 24 · 18 Aug 312 scenarios · 4 locales
ASR Accuracy by accent
89%overall
EN-US 96% EN-IN 88% EN-GB 91% ES-MX 79%
Test Results by type
Intent Match94%
DTMF Detection99%
TTS Clarity82%
Noise Resilience71%
Failures Requiring Fix 14 of 312
ASR misroute (noisy env.) — 8 TTS truncation — 4 Timeout escalation skip — 2
Noise Condition Matrix
Environment · ASR Score · Status
Quiet office (SNR 30dB) 96% PASS
Open-plan office (SNR 18dB) 88% PASS
Busy café (SNR 10dB) 74% WARN
Public transit (SNR 4dB) 61% FAIL
Headset / phone call (SNR 22dB) 91% PASS
Car with music (SNR 2dB) 52% FAIL
Avg. ASR Gap Found 0pp

Difference between lab accuracy and real-world noisy-call accuracy our audits uncover.

Accent Profiles Tested 0+

EN-US, EN-IN, EN-GB, EN-AU, ES-MX, FR-FR, DE-DE and more included in coverage plans.

IVR Paths per Sprint 0+

Automated scenario execution across DTMF, speech, intent routing, and escalation paths.

Where Voice Products Break in the Wild

Most voice failures aren't caught in the lab - they surface in noisy environments, with non-native speakers, or mid-flow when the user says something the bot didn't train on. We find them before your callers do.

🔴 Critical - Misrouting

ASR Misrecognition → Wrong Intent

The speech engine transcribes "cancel my order" as "cancel my border" in a café environment, routing the caller to immigration services. We stress-test every intent against 6 background noise profiles and 4+ accent groups.

🟡 High - Flow Break

Silence Timeout Triggers Incorrect Escalation

A 3-second silence due to network jitter forces escalation to an agent queue — at 2× the cost. We validate every timeout threshold against realistic connection conditions, including mobile data latency spikes.

🔴 Critical - TTS Failure

Text-to-Speech Truncation on Long Numbers

Account numbers with 16+ digits get clipped mid-read by the TTS engine, leaving callers confused and repeating themselves. We run TTS assertion tests on every dynamic prompt template, not just the happy-path samples.

🟢 Caught Early - DTMF

DTMF Input Rejected During Hold Music

Hold music frequency bleeds into the DTMF band, causing tones to drop. This is a classic telco edge case — we simulate PSTN, SIP, and WebRTC call paths to catch interference before it reaches production.

voice-failure-classifier
ASR Misrecognition · EN-IN accent
Expected: "pay my bill" → Got: "play my bill"
Confidence: 0.62 · Noise: café (SNR 11dB)
IVR Timeout → wrong escalation
Silence: 3.1s · Threshold: 3.0s
Escalated to billing instead of retention
TTS Prompt truncation · 16-digit num
Read: "4782 3311 ..." (clipped at char 14)
Engine: Google TTS · Voice: en-US-Neural2-J
ASR Intent mismatch · ES-MX
"Cancelar mi orden" → routed to "Cancelar servicio"
Confidence: 0.58 · Model: Whisper v3

Voice Testing Tools We Use

One testing framework doesn't cover the full voice stack. We match the right tool to the right layer - from PSTN simulation and ASR benchmarking to IVR flow automation and TTS assertion.

📞

Cyara / Hammer

End-to-end IVR and contact centre test automation. We build test scripts for every call flow, regression-test prompt changes, and verify DTMF + speech paths across trunk groups.

IVR Automation PSTN Simulation Load Testing
🎙️

Whisper / Google STT / AWS Transcribe

We benchmark ASR accuracy across engines - comparing word error rate (WER) for your specific vocabulary, domain terms, and target demographics before you commit to an engine.

WER Benchmarking Accent Testing Multi-engine
🔊

SIPp + Custom Noise Profiles

We simulate realistic call conditions: PSTN jitter, background café noise, hold music DTMF bleed, and mobile codec degradation. Real-world SNR profiles, not lab-clean WAV files.

SIP Load Test Noise Injection Codec Testing
🤖

VoiceBase / Speechmatics

For conversational AI and voice bots, we validate intent recognition rates, entity extraction accuracy, and fallback behaviour when the bot doesn't understand an utterance.

NLU Testing Intent Accuracy Fallback Paths
📋

Appium + Espresso (Voice UI)

Mobile voice features - push-to-talk, in-app voice commands, voice search - are tested with Appium on real devices and Espresso for Android. Voice permissions, mic access, and UI state all verified.

Mobile Voice Real Devices UI Automation
📊

Custom Reporting Dashboard

Every test run publishes ASR accuracy by accent, per-scenario pass/fail, WER trends, and noise-resilience scores - all linked from your CI pipeline so regressions are visible at merge time.

CI Integration WER Trends Allure Reports

Watch the Tester Flag Bugs in Real Time

Pick a scenario below - the simulator replays a real voice utterance, streams the ASR transcript, and flags every defect the moment it's detected. This is exactly what runs inside your CI pipeline.

voice-test-runner v2.4 REC
Recording active
Streaming audio to ASR engine…
Test Scenarios — click to run
"I want to pay my bill" EN-IN · Café noise
"Cancel my order please" EN-IN · Transit noise
"Check my account balance" EN-GB · Quiet office
"Cancelar mi orden ahora" ES-MX · Open office
ASR Transcript — Live Stream ● LISTENING
🐛 Bug Detector — Flagged Issues 0 bugs
Auto-cycling scenarios every 8s

Your Voice Bot Can't Choose Its Callers

A voice product that scores 96% accuracy in a studio is a different product from the one your users experience. We test the gap - every accent, every noise floor.

🇺🇸
American English (EN-US)Standard benchmark accent
96% WRR
🇮🇳
Indian English (EN-IN)High call-volume market
88% WRR
🇬🇧
British English (EN-GB)Regional dialect variance
91% WRR
🇲🇽
Mexican Spanish (ES-MX)Largest Spanish call market
79% WRR
🇦🇺
Australian English (EN-AU)Vowel-shift heavy
93% WRR
Real-World Noise Simulation
🏢 Quiet office
SNR 30dB
💼 Open-plan office
SNR 18dB
Busy café
SNR 10dB
🚇 Public transit
SNR 4dB
🚗 Car with music
SNR 2dB
🎧 Headset / headphones
SNR 22dB

How We Validate Your Voice Product

Voice QA is not manual call listening. It's structured test automation, acoustic profiling, and regression coverage - integrated into your sprint cadence.

Voice Testing FAQs

Common questions about how a voice testing engagement with us actually runs.

Still have questions?

We'll walk through your release on a short call.

Contact Us
Voice Testing, Built Around Your Callers

Discuss your voice quality challenges with us.

Thirty minutes, no deck. Bring one call recording or IVR flow definition - we'll identify the three most likely failure points and what we'd fix first, whether or not you hire us.

Book a free voice audit

Frugal Testing · Voice Testing

natasha@frugaltesting.com+91-8328263678