SAMPLE European Dialogue Training Datasets - Text-to-Speech (TTS) Data - 1000H+Multilingual ...

This dataset contains a broad set of realistic customer service dialogues created specifically for AI training. It covers five European languages (Danish, Norwegian, Swedish, Dutch and Finnish) and includes more than 1000 hours of natural human to human phone calls. The audio consists of customer service roleplays on a wide range of topics, with one speaker acting as the support agent and the other as a customer presenting a request or issue. Dialogues are natural human-to-human conversations, built around real customer scenarios and typical interactions with support agents.

Each conversation is provided as dual-channel audio with separate tracks for agent and customer, paired with time-aligned transcripts and structured metadata such as scenario type, topic, duration and speaker role. The speech is fully natural and unscripted, with interruptions, hesitations, backchannels, informal phrasing and realistic problem-solving behaviour, making it well suited for robust, production-grade models.

Example topics and scenarios include:
- Billing questions and payment issues
- Booking changes, cancellations and rebookings
- Insurance questions and claims handling
- Technical support and troubleshooting
- Delivery delays, missing items and logistics questions
- Travel planning, tickets and reservations
- General customer service inquiries, complaints and follow-ups

All data is recorded under informed consent with fair pay, GDPR-aligned processes and clear data governance. No scraping and no synthetic speech are used. This makes the dataset a strong fit for organisations that need clean, ethically gathered training data for voice agents, real-time conversation models, intent classification, sentiment detection and language understanding tasks in European markets.