Authentic European Audio.
Legally Safe. Dialect-Rich.
50+ dialects. 20,000 verified contributors. Real-world noise. Full provenance.
Audio datasets your ASR and TTS models can finally trust.
Dialect Verification
Contributor #4092 β’ Native Speaker β’ High Fidelity
98.4%
-60dB
Built for Legal Teams,
Not Just ML Teams
European audio data with the governance your compliance officers require.
Training data is now a regulatory surface. The EU AI Act mandates provenance and bias evaluation. We built YPAI to turn compliance from a risk into an asset.
Download Compliance Overview βGDPR-Native Consent Lifecycle
Every recording captures consent version, purpose, and scope. Revocation propagates across all derived datasets immediately.
EU AI Act Article 10
We document demographic representation, collection methodology, and annotation lineage. Your training data is fully auditable.
Provenance You Can Prove
Each audio file carries metadata: speaker demographics, device, environment, consent ID. When regulators ask, you have the answer.
EU-Soil Processing
Primary data never leaves the EEA. No CLOUD Act exposure. No third-country transfer risk. Supervised by Datatilsynet.
50+ Dialects. Not 500 Languages with Thin Coverage.
Deep European audio from speakers who live the language.
Most ASR training data comes from read speech in standard accents. Models trained on this data fail when they encounter real European speakers.
A customer in ZΓΌrich speaks Swiss German. A patient in Glasgow speaks Glaswegian. A factory worker in Bilbao speaks Basque. Your model needs to understand them.
YPAI specializes in the dialects and accents that production systems actually encounter.
Germanic dialects
- Swiss German (ZΓΌrich, Bern, Basel)
- Austrian German (Vienna, Tyrol)
- Bavarian
- Swabian
- Low German
- Luxembourgish
British and Irish varieties
- Glaswegian
- Scouse
- Geordie
- West Country
- Belfast
- Dublin
- Welsh English
Romance languages
- Andalusian Spanish
- Catalan
- Galician
- Neapolitan
- Sicilian
- Occitan
- Walloon
- Swiss French
- Belgian French
- Quebec French
Nordic languages
- Norwegian (BokmΓ₯l, Nynorsk, Bergen, TrΓΈndelag)
- Swedish (Stockholm, SkΓ₯ne, Finland-Swedish)
- Danish (Copenhagen, Jutlandic)
- Finnish
- Sami languages
Minority and regional languages
- Basque
- Breton
- Frisian
- Romani
- Sorbian
Code-Switching Datasets
Real European speakers switch languages mid-sentence. Your model should too.
Real-World Noise
Studio recordings do not prepare models for production. We collect audio in:
Audio Data for High-Stakes Domains
Purpose-built datasets for automotive, healthcare, finance, and industrial applications.
Automotive In-cabin speech recognition that works on European roads.
Voice assistants fail when drivers have regional accents, speak in noisy conditions, or switch languages. We collect:
- In-vehicle recordings at highway speeds (100+ km/h)
- HVAC noise, wind noise, road noise
- Driver and passenger positions
- 70+ European language and dialect combinations
- Wake word and command datasets
- Spontaneous navigation and infotainment requests
YPAI data reduces the gap between demo-room accuracy and real-world performance.
View Automotive Datasets Healthcare Clinical speech data with the compliance your legal team requires.
Medical transcription and ambient clinical intelligence need specialty-specific vocabulary, multi-speaker handling, and strict data governance. We provide:
- Clinical dictation across 30+ specialties
- Doctor-patient conversation datasets
- Telehealth audio with varied connection quality
- Medical terminology in European languages
- GDPR-compliant de-identification workflows
- Emotional and stressed speech for mental health applications
Finance Voice data for fraud detection, biometrics, and compliance recording.
Financial services require audio that reflects real customer interactions, diverse demographics, and adversarial conditions. We collect:
- Call center conversations with emotional variation
- Trading floor audio with crosstalk and jargon
- Demographically balanced voice enrollment samples
- Anti-spoofing and liveness detection data
- Multilingual customer service recordings
- Compliance-ready provenance and consent documentation
Industrial and Manufacturing Speech data from noisy, high-stakes environments.
Voice control in industrial settings fails without training data from comparable acoustic conditions. We record:
- Factory floor speech with heavy machinery
- Warehouse and logistics environments
- Maritime and offshore operations
- Construction sites
- PPE-muffled speech (masks, helmets, ear protection)
- Hands-free command and control scenarios
Gaming and Entertainment Emotional and prosodic speech for next-generation TTS.
Character voices, dynamic dialogue, and expressive synthesis require training data with emotional range. We provide:
- Acted emotional speech (anger, fear, joy, sadness, surprise)
- Whispered and shouted speech
- Character archetypes and accents
- Narrative and dialogue reads
- Prosodic variation datasets
- European voice actor recordings
Why ASR and TTS Models Fail in Europe
The training data problem your vendor will not talk about.
You fine-tuned Whisper. Deployed Deepgram. Integrated AssemblyAI. And your European users still complain.
The problem is not the model architecture. The problem is the training data.
Whisper hallucinates on European accents
OpenAI's training data skews American and British standard. When Whisper encounters Swiss German, Glaswegian, or Andalusian Spanish, it guesses. Sometimes it invents entire phrases that were never spoken.
Deepgram WER spikes on regional dialects
Deepgram performs well on broadcast English. Performance degrades on Liverpool, Belfast, or rural French. Your reported WER is an average that hides regional failures.
AssemblyAI struggles with code-switching
European business speakers switch between English and German, English and French, French and Arabic. Models trained on monolingual data cannot follow the conversation.
Speechmatics regional coverage is brittle
Speechmatics supports many languages. But depth within each language is inconsistent. Nordic dialects, minority languages, and non-capital accents are underserved.
The Fix
YPAI provides the audio data these models lack.
- 50+ European dialects and accents, collected from native speakers in their home regions
- Code-switching datasets across major European language pairs
- Real-world noise conditions, not studio approximations
- Provenance and metadata that let you fine-tune with confidence
- Compliance-ready documentation for EU AI Act and GDPR
Your model is only as good as its training data. Fix the data, fix the model.
Request a Benchmark DatasetFeatured Datasets
Production-ready audio for ASR, TTS, and conversational AI.
Swiss German Conversational Speech
ZΓΌrich, Bern, Basel dialects. Spontaneous conversation and read speech. Full demographic metadata.
Nordic Languages Bundle
Norwegian (5 dialects), Swedish (4 dialects), Danish, Finnish, Sami. Scripted and unscripted.
European Automotive In-Cabin
15 languages. Highway, city, and idle conditions. Driver and passenger positions. HVAC and window states.
British Isles Accent Collection
Glaswegian, Scouse, Geordie, Belfast, Dublin, Welsh English. Native speakers recorded in home environments.
Code-Switching: English-German
Frankfurt, Berlin, Munich business and tech contexts. Natural mid-sentence switching.
European Call Center Speech
20 languages. Customer service, complaints, technical support. Emotional variation. PII-redacted.
Clinical Dictation: European Languages
German, French, Spanish, Italian, Dutch. 25 medical specialties. GDPR-compliant.
Industrial Noise Speech
Factory, warehouse, maritime, construction. PPE conditions. Command and control scenarios.
Fix Your ASR. Boost Your TTS.
YPAI datasets integrate with the models you already use.
Fix Whisper
Fine-tune Whisper on YPAI dialect and accent data. Reduce hallucinations on European speech. Improve WER on Swiss German, Glaswegian, Andalusian, and 50+ other underserved varieties.
Boost Deepgram
Add YPAI noise-robust and accent-diverse datasets to your Deepgram training pipeline. Close the accuracy gap between benchmark performance and production reality.
Enhance AssemblyAI
Extend AssemblyAI's language coverage with YPAI multilingual and code-switching data. Handle real European business conversations where speakers switch languages mid-sentence.
Speechmatics Dialect Booster
Fill Speechmatics regional gaps with YPAI minority language and dialect collections. Improve accuracy on Nordic, Celtic, and regional Romance varieties.
Documentation and Data Governance
Contact Us
Questions about compliance, datasets, or integration? Our team responds within one business day.
YPAI Audio. Norwegian-headquartered. European coverage. Audio data your models can trust.