Run a fair AI narration audition with matched scripts and documented criteria

Choose one production use case

A calm training lesson and a short advertisement need different performances. Define the intended length, audience, listening environment and language before producing auditions. For a product explanation, focus on whether a listener can understand the operation and its qualifications. A single naturalness score mixes speaker preference with intelligibility and familiarity with the subject. This article proposes an evaluation procedure; it does not report a LavaTools listening test or establish a product ranking. Write the assignment and acceptance conditions before hearing samples so that an attractive voice does not quietly redefine the task.

Prepare representative and diagnostic passages

Include the usual writing style alongside a product name, number, date, acronym and qualification. A collection of exceptionally difficult words alone is not representative of routine production. Separate an ordinary passage from a diagnostic passage and identify what each is intended to reveal. Submit the same content to each candidate and define permitted preparation beforehand. If one sample receives repeated pronunciation adjustments, record that work. Compare initial output and corrected output separately instead of presenting a heavily tuned audition against an untouched competitor and attributing the difference entirely to the provider.

Control playback and distinguish delivery contexts

Use the same device, listening equipment and broadly comparable playback level. A louder sample can seem more impressive without being more suitable. If level adjustment is used for evaluation, retain the original files and document that processing. Conduct isolated-voice listening separately from a finished version with background sound. A later delivery check should use the actual distribution candidate, including its processing and compression. This prevents a preference formed under headphones from being treated as proof that a lesson will remain intelligible on the phone speaker or player that the intended audience actually uses.

Document masking and listening order

To reduce expectations, label audition files A, B and C and keep the correspondence with the coordinator. Decide how listening order will vary before collecting judgments. A small internal audition should not be described as a large scientific experiment simply because brand names were hidden. Record listener count, language familiarity, replay allowance and the exact sample revision. Masking also has limits: someone may recognize a familiar voice or infer the service from its characteristic delivery. Describe what was controlled and what remained uncontrolled rather than claiming that anonymity eliminates every possible source of bias.

Separate correctness, comprehension and preference

Use separate fields for pronunciation and numbers, understanding of the message, pacing and pauses, and personal voice preference. Record the time and phrase associated with a difficulty instead of supplying only a low score. If comprehension matters, prepare a short question about the explanation and examine what listeners understood. Do not generalize one colleague’s taste to every audience; include people resembling the intended listeners where practical. Equal total scores can conceal an important factual reading error, so publication-blocking mistakes should remain visible rather than being averaged away by favorable style ratings.

Include the correction workload

When an initial audition contains a problem, correct it through the workflow the regular operator would actually use. Record the operations and repeat generations needed. An impressive take selected after many attempts is not equivalent in workload to an acceptable first take. If time is measured, consistently define whether preparation and listening are included. The worksheet proposed here is not a claim about any provider’s correction speed. Use the evidence produced by your own pilot to decide whether a voice can be maintained within the team’s production time and available usage allowance.

Publish the decision and its boundaries

Record which candidate was selected for which task and what made alternatives unsuitable. Repeat a short controlled audition when pricing, model, voice availability, language or script type changes. Before publishing sample audio, confirm applicable sharing rights and any necessary speaker permissions. A useful comparison explains its scripts, settings, criteria and correction workload, not merely the chosen winner. Another production team should be able to see which conclusions are relevant to its own assignment and which depend on your audience, playback conditions or a specific set of voices available at the time of the test.

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