One of the challenges with a catalogue of over 600 voices is the problem of choice. This presents is a discovery problem, very few users want to filter through all our voices!
So to deal with this we introduced parameters. Parameters are added and updated regularly.
List of Parameters:
provider(string) - Try one of: google, polly, azure, msnr, cerevoice
language(string) - Try with one of: english, spanish, french, german
accent(string) - Try with one of: american, british, neutral, portuguese/brazilian, american soft, mexican, australian, etc
gender(string) - Try with one of: male, female
ageBracket(string) - Try with one of: adult, child, senior
tags(string) - Try with one or more (separated by commas) of: steady, confident, balanced, informative, serious, instructional, slow, storytelling, calm, clear, deep, formal, sad, thin, fast, upbeat, fun, energetic, tense, very fast, flat, low pitched, high pitched, low-pitched, sing-y, cooperative, kind, stable, monotonous, neutral, responsible, business man, straight to the point, knowledgeable, focused, newscastery, newsreader, interviewer, reliable, friendly, welcoming, good for handing out information, slightly friendly
industryExamples(string) - Try with one or more of: fitness, business, commercial, fashion, travel, audiobook, faith, health industry, commercial, real estate, kids entertainment, games, customer service, education, storytelling, entertainment, kids, education audiobook
providerFullName(string) - Try with one of: 'amazon polly', 'google', 'microsoft azure', 'messner', 'retro', 'ibm', 'yandex', 'vocalid'
alias(string) - name of the voice
timePerformance(string) - The time performance of the voice. There are three categories: slow, medium, fast.
sectionCharacterLimit(string) - The maximum amount of characters that the voice can process per Script section.
See more here
Listen to all our voices
API.audio’s Voice.list() is optimized to build for UIs for Voice Discoverability and Findability
Our library contains 600+ voices, in 60 different languages, accents, genders, ages and providers.We also offer specialized voices, different speaking styles, and niche voice styles. With all this to navigate through, making it easy for your users to choose a voice is complex, as there are hundreds of options, different brands, message fits and UX options.
To solve this, we have developed an extensive and well maintained tagging , labelling and ranking regime, spanning from voice tone, pitch, emotion, style, and suggested purpose, and much more. You can mix and match our filtering by purpose: based on content: e.g. Travel, Education, Fitness, by the gender of the speaker (M/F), by style: Fun, Upbeat, Energetic, by Language and Accent, and many many more.
Below there are some suggestions on how you can use our smart filtering system to build your own Frontend. We have curated 3 options for 3 main hypotheses; minimal, medium and large. Below we will present some UX styles and mockups, based on the hypotheses above.
Curated shortlist for user based on input or job to do (eg. English script for female avatar). You can filter by VoiceName, Language/Accent, or even speaking style.
Option 1: By Voice name Option 2: By Language and Accent Option 3: By Speaking Style
Smart filtering can retrieve the list of voices for preview.
Parameter based search for users to make the entire library searchable. This is the most comprehensible filtering system, and here are some combinations you can use:
Updated 3 months ago