TTS Data

Professional Text-to-Speech Training Data

High-fidelity single-speaker recordings designed for text-to-speech models. Consistent tone, pacing, and pronunciation across thousands of utterances, recorded by professionals who understand what TTS engines need.
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Format
WAV / FLAC
Sample rate
48kHz / 24-bit
Languages
30+
Speakers
1 per voice
Turnaround
4-8 weeks
Compliance
GDPR + EU AI Act

About this dataset

Voice data engineered for synthesis

Building a great TTS voice starts with great data. We record single-speaker datasets in studio conditions designed specifically for speech synthesis: controlled pacing, consistent microphone position, minimal variation in room tone, and phonetically balanced scripts that cover your target language’s full sound inventory.
Our voice artists are experienced in long-form studio recording and understand the consistency requirements of TTS training. Sessions are directed by audio producers who monitor for drift in energy, pacing, and articulation across recording days, the subtle inconsistencies that cause artefacts in synthesised output.
Datasets are delivered with time-aligned transcriptions at utterance and word level, phonetic annotations, and full speaker metadata. Everything your pipeline needs, in the format it expects.

What’s included

Single-speaker studio recording (48kHz/24-bit)
Phonetically balanced script design
Utterance and word-level alignment
Phonetic (IPA) annotations
Speaker consent and voice licensing
GDPR compliance documentation

Use cases

What teams build with our TTS data

Brand Voices

Create a unique, ownable synthetic voice for your product, IVR system, or digital assistant, trained on studio-quality data from a single professional voice artist.

Navigation and Automotive

In-car voice prompts and turn-by-turn navigation need clarity above all. Our TTS data is recorded for intelligibility in noisy environments.

Accessibility Tools

Screen readers and assistive tech need natural-sounding voices. We record with the prosody and pacing that makes synthesised speech comfortable to listen to for hours.

Audiobook Narration

AI-generated audiobooks require expressive, long-form TTS data. We record with the dynamic range and storytelling quality that listeners expect.

Customer Service

IVR and virtual agent voices that don’t sound robotic. Our TTS data captures the natural warmth and conversational tone that keeps callers engaged.

Multilingual TTS

Launch synthetic voices across markets. We record with native speakers and linguist-designed scripts for each target language.

The Flaunt difference

Why studio TTS data produces better voices

Flaunt Audio
Directed recording for consistency
Phonetically balanced scripts
Professional voice artist talent
Multi-day session continuity monitoring
Typical provider
Unsupervised home recordings
Generic script coverage
Non-professional speakers
No cross-session consistency checks

US English

TTS training data in US English voices

Need a US English voice for speech synthesis? We cast and contract native US English voice talent for TTS training data, in neutral, conversational or expressive styles. We run a large roster of consented voices. Voices record in a professional studio, either ours or their own, with every session directed live by our producers. Every voice is contracted and paid, with consent documented.

Technical specifications

TTS-optimised delivery

Audio

48kHz/24-bit WAV mono (default). Silence-trimmed or with configurable lead/tail silence. Normalised to target LUFS. Also available at 22.05kHz/16-bit for legacy pipelines.

Transcription

Utterance-level and word-level alignment. Phonetic transcription (IPA) available. Formats: TextGrid (Praat), JSON, CSV. Prosody annotations on request.

Metadata

Speaker profile (age, gender, accent, vocal range), recording session dates, microphone/preamp chain, room acoustics profile. Delivered as JSON sidecar.

FAQ

TTS training data FAQ

It depends on your model architecture. Modern neural TTS can produce good results from 10-20 hours. Higher-quality or multi-style voices typically benefit from 30-80+ hours. We’ll advise based on your specific engine and quality targets.
Absolutely. We provide audition samples from our roster so you can select the voice that fits your brand. We can also cast for specific demographics, accents, or vocal qualities.
Every session starts with reference playback from the previous session. Our producers monitor for drift in energy, pitch range, and pacing. We use the same studio, microphone position, and signal chain throughout the project.
Yes. We offer IPA transcriptions alongside orthographic text. We can also provide custom phoneme sets or pronunciation dictionaries aligned to your TTS engine’s requirements.
All voice artists sign a comprehensive consent and licensing agreement that covers AI voice synthesis use. We provide full documentation with every delivery. Terms can be customised to your licensing requirements.
Yes. We can record multiple speaking styles (neutral, warm, authoritative, conversational, etc.) from the same speaker within a single project. Style labels are included in the metadata.

Guides

How to specify it

Phonetically Balanced Script Recording for TTS and ASR

What phonetic coverage means, how diphone and triphone scripts are selected, CMU ARCTIC and Harvard sentences, and how to brief a TTS or ASR recording.
Read the guide

Expressive Multi-Style TTS Corpora

What an expressive multi-style TTS corpus needs: one performer, defined styles, parallel scripts, hours per style and voice consent.
Read the guide

Prosody Speech Datasets

How to spec a prosody speech dataset covering questions vs statements, emphasis, focus and pauses for expressive TTS and intonation-aware ASR.
Read the guide

Nonverbal Vocalisation Datasets

What a nonverbal vocalisation dataset needs: event classes, timing labels, speakers and formats for expressive TTS, voice agents and sound detection.
Read the guide

Numbers, Dates and Currency Speech Data for ASR and TTS

How to spec speech data for spoken numbers, dates, times and currency across US, UK and Canadian formats, for TTS text normalisation and ASR ITN.
Read the guide

Named Entity Speech Data

What named entity speech data is, why ASR and TTS struggle with names, places and brands, and how to brief a supplier for pronunciation-labelled audio.
Read the guide

Related datasets

You might also need

Speech Data Collection

Multi-speaker datasets for broader AI training needs.
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Multilingual Datasets

Launch your TTS voice in 30+ languages.
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Emotion and Sentiment Data

Add expressive range to your synthetic voice.
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Ready to build your TTS voice?

Tell us about your project and we’ll recommend the right speaker, script approach, and dataset size. Audition samples available.