AI DATASETS · AUDIO & SPEECH

Buy custom AI audio datasets from the real world.

Days from request to delivery. Bespoke audio and speech datasets, collected by real people across 190+ countries. Real-world or studio-clean, captured to your spec.

  • 190+ countries of coverage
  • Any language with smartphone reach
  • Real-world or studio-grade
  • Zero-party, straight from native speakers

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OFF-THE-SHELF DATASETS

Seven data types, collected to your requirement.

Structured · Labeled · Annotated. Switch the tab to see each modality, or browse them all below.

MODALITY · 01 / 07

Audio & Speech

Speech for ASR and voice AI across languages, accents, and noise levels.

190+ countries100+ languagesReal-world or studio
Explore audio
WHAT YOU GET

Bespoke audio, collected to your spec.

The sound files your model needs, in the conditions it will face.

Collected to your spec.

Any language, any accent, on demand.

Real-world or studio.

Background noise or clean capture, your choice.

Raw audio core.

Transcription, timestamps, and speaker labels as add-ons.

Request a sample audio dataset License it from our library, or own it outright.
WHY SPEECH MODELS FAIL

Why speech models fail.

Clean audio trains a model that slips where real users speak.

Trained on clean, studio, or synthetic audio
Studio inputSlips on noise

Performs in ideal conditions, slips on real accents, noise, and code-switching.

Trained on real-world audio from Rwazi
Real-world inputHolds

Holds up where your users actually speak.

WHAT SYNTHETIC DATA MISSES

The conditions clean audio never sees.

Background noise.

Traffic, crowds, machinery, wind.

Accent diversity.

30.4% of recognition failures trace to accent and dialect variation.

Code-switching.

People mixing languages mid-sentence results in a 30% accuracy drop.

Emotional speech.

Frustration, excitement, hesitation, crying.

Device variability.

Phone mics, Bluetooth headsets, microphones, and network degradation.

Edge cases.

Speech impediments and elderly speakers.

Rwazi collects all of it from real people, so your model meets it in training, before it ships.

SAMPLE TYPES

See the sample types we collect for cases like yours.

A requested pack contains clips matched to your modality and conditions, with demographic metadata and a naming convention, delivered to your cloud.

SAMPLE 01
REAL-WORLD NOISE

Accented and multilingual speech, in real-world noise.

Gated request
SAMPLE 02
CODE-SWITCH

Code-switching, spontaneous conversation.

Gated request
SAMPLE 03
MULTI-SPEAKER

Studio-clean, single or multi-speaker.

Gated request
SAMPLE 04
CONTACT CENTRE

Contact-center and noisy-environment audio.

Gated request
Request an audio sample pack
WHAT WE CAPTURE

What we capture, to your spec.

Every dimension is a knob you set on the order, collected to exactly what your model needs.

Languages
Any language190+ countries
Accents & dialects
Native speakersRegional accents
Code-switching
Hindi-EnglishSpanish-EnglishFrench-English
Style
SpontaneousScripted
Conditions
Real-world noiseStudio-clean
Speakers
SingleDualMulti-speakerConversational
Scale

A few hundred to tens of thousands of hours, to your spec.

Audio specs
Sample rateMono / stereoBit depth
Add-ons
TranscriptionTimestampsSpeaker labels
Formats & delivery
WAVMP3MP4
Request your custom specs
COLLECTION MODES

Two ways to capture, your choice.

We work both ends of the spectrum. You pick the condition your model needs.

Real-world capture

For models that must hold up in production. Accents, background noise, and spontaneous speech, captured where your users actually are.

Studio-grade capture

For models that need precision. Cleaner speech, specific mics, and scripted or semi-scripted prompts, in controlled conditions.

GLOBAL COVERAGE

Your users are global. Your training data should be too.

Most speech datasets are built from a handful of major markets, so models stumble elsewhere. Rwazi collects across 190+ countries, in any language with smartphone reach, from native speakers in their own conditions.

  • 190+ countries
  • 100+ languages
  • Regional accents and dialects
  • Code-switching
  • Real-world or studio
WHY TEAMS COLLECT WITH RWAZI

Why teams collect with Rwazi.

Built in

Demographic metadata, built in.

Every clip carries who recorded it: age, gender, and location, tagged at the point of capture, with richer fields like income, weight, and height available on request.

Reach on demand.

We collect across 190+ countries and generate the data wherever it lives. A model for a given market trains on data from that market, gathered directly.

Zero-party, collected by Rwazi.

Collected directly by vetted contributors under explicit consent, sourced straight from Rwazi, and yours to use. No intermediaries involved.

Quality assurance.

Every file runs through multi-stage QC, human-in-the-loop, then validation before delivery.

Exclusive and licensed.

Choose from a range of exclusive and licensed audio datasets unique to you.

USE CASES

Built for the voice AI you are shipping.

Voice assistants, ASR, and conversational AI.

Problem

Models stumble on non-standard accents and dialects.

Solution

Speech across 100+ languages with regional accents, from native speakers, for ASR and conversational AI datasets.

25%
Impact
Accuracy lift in underrepresented markets.
HOW IT WORKS

From your spec to your cloud, in four steps.

01 · Define

Languages, accents, noise profile, speakers, hours, and your pass-or-reject spec.

02 · Collect

Real people across 190+ countries, real-world or studio.

03 · Quality control

Human-in-the-loop validation against your spec before delivery.

04 · Deliver

WAV, MP3, MP4 to your S3, Azure Blob, GCS, or SFTP.

Run it as a one-off project or a recurring refresh, weekly or monthly.

Book a call to know more
COMPARISON

How Rwazi compares to other providers.

The same data, captured in the physical world. Here is how that stacks up against the alternatives.

Recommended
Rwazi
Option 1Option 2Option 3
Real-world dataPhysical-world across 190+ countriesDigital-firstLimited physicalInconsistent
Mobile-native5M mobile devicesDesktop focusLimitedWeb-based
Geographic coverage190+ countriesUS/Europe biasLimited coverage70 countries
Data modalitiesAudio, video, image, GPS, sensorImages/textAudio/textBasic tasks
Pricing transparencyTransparent tiersOpaque ($93K)ComplexTransparent tiers
QualityMulti-tier validation98%+ (claims)VariableLow pay risk
ComplianceGDPR ready, SOC 2 in progressFedRAMP, SOC 2SOC 2, ISO 27001Limited

Rwazi plays in physical-world-first AI.

5 million mobile users collecting authentic data from real environments in 190+ countries. Making your models more competitive with real life data.

QUALITY & TRUST

Quality you set, checked before it ships.

You set the spec. A multi-stage QC team validates every file against your pass-or-reject criteria, with human-in-the-loop review and reports. Every file carries its provenance: who recorded it, where, and when.

  1. 01You set the pass-or-reject spec
  2. 02Multi-stage QC team validates every file
  3. 03Human-in-the-loop review
  4. 04Provenance recorded per file
  5. 05Delivered to your cloud
Multi-stage QC, human-in-the-loop
Full provenance on every file: who recorded it, where, and when
Explicit consent
Licensed or fully owned, yours to use
Compliance shown when verified (SOC 2 / GDPR status on request)

Contact the Rwazi AI Datasets team.

Send us your brief, or book a live demo. We will reply with how we would collect it and a sample to review.

++++
Which of the following best describes your role?

Book a live demo

15 minutes. We walk you through exactly how we collect audio to your spec, in your markets and the conditions your model will face.

FAQ

Questions teams ask before they buy.

What is audio and speech training data?+

Audio of real people speaking, used to train and fine-tune speech models such as ASR and voice AI. Rwazi collects it to your spec across 190+ countries, real-world or studio.

Do you cover code-switching and noisy environments?+

Yes. We capture mixed-language speech and real-world background noise, or studio-clean when you need it.

Does it include transcription or speaker labels?+

Raw audio is the core. Transcription, timestamps, and speaker labels are available as add-ons.

How is it priced?+

Scoped to your use case. The variables include volume, languages and accents, exclusive versus licensed, and add-ons. Share your requirement and we will scope it.

How does this compare to synthetic or off-the-shelf audio?+

Synthetic and studio audio perform in ideal conditions and slip in production. Rwazi collects to your spec, matching the real conditions your users bring.

Where can I buy voice transcription datasets?+

Share your use case and Rwazi scopes a bespoke speech dataset, with transcription as an add-on layer, licensed or owned outright.

Which languages and accents can you collect?+

Any language with smartphone reach, with regional accents and code-switching. Strongest in English, French, Spanish, Chinese, and Hindi.

What formats and delivery do you support?+

WAV, MP3, and MP4, delivered to your S3, Azure Blob, GCS, or SFTP.

How fast can you deliver?+

Curated sprints run in days; larger or recurring engagements run longer. Run it one-off or as a weekly or monthly refresh.

How do you handle consent and ownership?+

Contributors collect under explicit consent, direct from Rwazi. License it or own it outright, and every file carries its provenance.

What does a delivery look like?+

QC'd files with a consistent naming convention, the format you specify, and demographic metadata at the file level, delivered to your cloud. Raw bulk files are also available.

How do you prepare a speech dataset for machine learning?+

We define the spec with you, collect from real speakers across 190+ countries, run human-in-the-loop QC against your pass-or-reject criteria, then deliver it to your pipeline.