Faced with a few hundred voice options, most people do the same thing: click through the first dozen or so until one sounds "fine," then move on. That works, but a few minutes of deliberate selection usually produces a noticeably better result — especially for anything longer than a 30-second clip, where the wrong pacing or tone gets tiring to listen to.
Start with the format, not the voice
What you're making should decide the search, not the other way around. A daily news briefing wants a clear, brisk, confident voice. A bedtime-story audiobook chapter wants something warmer and slower. A corporate training module wants neutral and unhurried — nobody wants "energetic" narrating a compliance policy.
Match the accent to your audience
If you're producing content for a specific regional audience, an accent-matched voice tends to land better than a generic one — a US audience often responds better to a US accent, a UK audience to a UK accent, and so on, though this is a soft preference rather than a hard rule. If you're producing something genuinely international, a neutral, widely-understood accent is usually the safer default.
Test the same line across a few candidates
Don't judge a voice off a single word. Pick one representative sentence from your actual script — ideally one with some punctuation variety, a comma and a question if possible — and generate it across three or four voice candidates. Differences in pacing and pitch handling show up much more clearly this way than by listening to each voice's generic sample line.
Pitch, rate, and volume are your fine-tuning tools
Once you've picked a voice you like structurally, the pitch/rate/volume settings let you nudge it the rest of the way. A voice that's almost right but reads slightly too fast for dense material is often fixed with a small rate adjustment rather than starting the search over. Small adjustments (5-15%) tend to sound more natural than large ones — pushing rate or pitch too far from a voice's default starts to introduce artifacts.
For multi-speaker scripts, contrast matters more than individual quality
When you're picking two or more voices for a multi-speaker script, optimize for how distinguishable they are from each other, not just how good each one sounds in isolation. Two great voices that are hard to tell apart make for confusing dialogue; two decent voices with clearly different pitch ranges make for clearer dialogue.
Don't over-optimize a single 15-second clip
For a very short piece — a single line for a social clip, a one-sentence IVR prompt — the difference between a "good" and "perfect" voice choice is barely audible to a listener who hears it once. Save the careful A/B testing for content people will actually sit with for a few minutes.
