How to choose a voice and test your AI agent's vocabulary

Voice selection: a script with names, dates and codes

Build a script using actual service sentences: greeting, product name, address, date, code and closing. Include similar terms and numbers whose confusion changes the task. For each sentence, record what listeners should understand; voice-tone preference does not replace comprehension testing.

Represent the operation's language and subjects. Generic demos cannot confirm how your company names will sound.

Compare Tigy's available choices

Tigy offers selected voices and manages speech synthesis. Compare displayed options using identical sentences.

Do not assume external voice import or another provider selection. Assess clarity and suitability among available agent options.

Find where the word changed

STT (speech-to-text) recognizes the caller's audio; TTS (text-to-speech) produces the spoken reply. For names incorrectly transcribed from user speech, investigate recognition. The dictionary supplies STT terms; compare before and after on matching scenarios.

For correct response text with confusing speech, inspect synthesis and phrasing. The STT dictionary is not a phonetic voice-pronunciation feature.

Listen on the intended channel

Test the browser and verify telephony when applicable. Ask reviewers what numbers and next steps they understood.

Change one choice at a time and record results. Voice is one part of experience; pacing, content and action confirmation need separate tests.

Compare conversations rather than voice clips

Test questions, corrections, waiting, interruptions and repetition rather than isolated clips.

Keep content and tools constant and evaluate each service language.

Fix ambiguous content or transcription issues in their own layers; TTS changes do not solve every audio problem.

Choose a voice from the service situation

Voice selection starts with audience and conversation type. Reception with short answers, step-by-step support, and research inviting extended accounts need different presentation. Define what callers should understand and how they interact. A voice must support that purpose throughout a conversation rather than impress through one demonstration sentence. Clear numbers, names, and instructions may matter more than initial aesthetic preference.

Write observable evaluation criteria: first-listen comprehension, ability to interrupt and resume, distinction between statements and questions, and intelligibility of important data. Avoid judging only beauty or humanness. Personal preferences can conceal difficulty with service vocabulary. Invite people resembling the intended audience, including those unfamiliar with internal terminology.

In Tigy, choose among environment-available voices and inspect documented configuration. Do not assume identical controls or behavior across voices. Compare adjustments through consistent examples without simultaneously changing instructions, sources, and tools. Multiple changes make it difficult to identify whether improvement came from voice or wording. Record actual configurations used in each sample.

Use common and exceptional situations. A voice may handle greetings well but make addresses, dates, or references difficult to understand. Include conditional explanations and caller corrections. Observe continuity after correction. The aim is a task-appropriate, understandable combination that leaves space for users rather than equating speed with quality. Keep a reference recording or equivalent test record under the team's approved handling rules so later comparisons rely on the same material. A decision based only on memory of how a previous voice sounded is hard to review and can drift as other configuration changes accumulate.

Prepare test material with words actually used in service

Selection material should contain actual operational terms rather than generic sentences alone. Include company names, locations, services, abbreviations, dates, times, and fictional references. Use difficult place names where relevant. Callers must understand content affecting action. Pleasant pronunciation of simple sentences does not prove clarity with specialized terms.

Organize examples by interpretation risk. Mispronounced commercial names can impair recognition. Confused numbers can prevent request tracking. Poorly separated conditions can sound like promises. Ask participants to explain the next step in their own words or repeat important data. This measures received meaning better than merely asking whether they liked the voice.

Avoid unnecessary real information. Fictional references can reproduce length, structure, and leading zeros. Test addresses and approved names permit comparison without exposing customers. Label deliberate errors used to test correction. Teams should repeat situations after changing voice or wording while preserving comparable difficulty.

Test listening through the intended channel. Computer audio and telephone calls may create different experiences. Use actually available environments and avoid blaming every failure on voice. Noise, connection, speech recognition, and response timing also shape conversation. Locate whether misunderstood information failed during agent listening, response generation, or caller comprehension. That distinction directs appropriate adjustments. Include a person unfamiliar with the test script: knowing the expected reference beforehand can make unclear speech seem easier to understand than it really is. A fresh listener helps reveal whether an important number is intelligible without contextual guessing.

Replace jargon with words preserving meaning

Plain vocabulary does not mean removing important conditions. Responses can replace internal expressions with familiar terms while staying precise. In support, validation stage may need an explanation of what is checked. In reception, service unit may simply mean the relevant location. Ask staff to identify frequent terms and write audience-understandable alternatives without changing policies or task states.

Define abbreviation presentation. Some are familiar; others need expansion on first use. Internal familiarity does not establish customer understanding. Explain terms once and use shorter forms later where unambiguous. Preserve proper identification for names. Do not translate service names so customers can no longer recognize them in documents or subsequent channels.

Review numbers and units. Deadlines need relevant conditions, such as operating days where approved. Measures and values require units. Wording should support intelligible speech and confirmation where needed. Do not collapse ranges into one number to simplify audio. Meaning-changing simplification may sound efficient while directing incorrect decisions.

Test informal questions. People may use alternative names or describe needs without category knowledge. Recognize intention and ask the minimum distinguishing question when ambiguity matters. Do not require repetition of technical terminology. This connects understanding and presentation: agents should understand natural language and return usable guidance without making customers learn company vocabulary. Also preserve terms the customer uses when they are accurate and understandable. Unnecessarily correcting everyday wording into internal jargon can disrupt a clear conversation without improving task execution. The reference vocabulary should support comprehension rather than act as a script the caller must follow.

Assess pacing together with pauses and interruptions

Speech pacing and turn-taking must work together. Short responses can be difficult if they begin before callers finish. Clear voices can seem slow when external lookup delays. Conversation settings and wording have different responsibilities. In Tigy, inspect available controls and test pauses, speech starts and endings, interruption, and inactivity under environment documentation.

Use a caller pausing mid-sentence and another ending a short question. Observe whether the agent allows enough listening time without unnecessary waiting. Interrupt an explanation to correct a fact. Continuation should use the correction instead of repeating the entire old answer. Change one relevant setting at a time, preserving material to identify effects.

Review response length. Multi-step guidance may present the next action and await confirmation; simple information may answer directly. Do not apply identical detail levels to every intention. Excess context can impede comprehension, while overly short answers can omit conditions preventing misinterpretation. Choose detail through the task and current question.

While waiting for tools, speech must reflect real conditions. Do not invent progress or repeat nearly ready without evidence. Operations should define alternatives for unresponsive dependencies. Pacing tests must include waiting, since pleasant immediate responses do not establish delayed-service quality. Separate voice improvement, turn adjustment, and integration recovery to correct confirmed causes. Include one caller who speaks slowly and another who supplies a short correction quickly, ensuring that a change intended to reduce delay does not make the system interrupt longer utterances or ignore brief updates.

Record the choice and revisit it when service changes

Final selection should explain why the combination works: understood terms, clear important data, suitable pacing, and correctly handled corrections. Preserve test material and configuration. Team preference can contribute, but separate it from comprehension criteria. Others can then review the choice without relying on individual taste or demonstration memories.

Revisit selection when new services, places, or vocabulary appear. Voices chosen for simple answers may require new tests for technical instructions. Do not automatically change every control; repeat affected cases and locate causes. Maintenance should follow language, channel, and audience, keeping real service understandable.

The desired outcome is someone understanding information, correcting the agent, and knowing the next step. Voice contributes alongside instructions, sources, and conversation settings. Grounded selection treats these as observable service components rather than reducing quality to sounding more human. When reporting comparisons, include what remained uncertain and which cases were not tested. An apparently unanimous choice based on greetings alone should not be presented as validation of long procedural explanations. That distinction helps the team plan further checks proportionate to the new task instead of treating the chosen voice as permanently suitable for every future use.