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Croatian Conversational Speech Dataset

1,500 hours of spontaneous two-person conversations in Croatian, recorded in Croatia with 150 vetted native speakers. Dual-channel audio, time-aligned human-verified transcripts and speaker metadata, licensed for commercial ASR, TTS and voice AI training.

This repository is the dataset card only. The audio is licensed commercially and isn't hosted on Hugging Face. Free samples (audio, matching transcripts and the metadata schema) are sent on request: request Croatian samples.

Specifications

Language Croatian
Recorded in Croatia
Speech type Spontaneous two-person conversations
Volume 1,500 hours
Speakers 150 vetted native speakers
Audio Dual-channel, one channel per speaker
Transcripts Time-aligned, human-verified
Speaker metadata Age, gender, region, recording device
Consent Signed commercial-use consent from every speaker
License Commercial, for training and evaluation
Price $75 per hour of audio, volume discounts available

What makes Croatian hard for speech recognition

Croatian has pitch accent and vowel length that standard spelling doesn't mark. Regional speech varies a lot, from the Štokavian standard to Kajkavian around Zagreb and Čakavian on the coast, and seven cases multiply word forms.

Built for

  • Automatic speech recognition (ASR / STT)
  • Text-to-speech and voice synthesis prosody
  • Voice agents and IVR for Croatia
  • Speaker diarization and turn-taking models
  • Speech LLM and audio-understanding fine-tuning

Getting the data

Request samples with a company email on the Croatian dataset page and the team replies with representative audio and transcripts so you can check quality, accents and transcript conventions before you buy. Need more hours, another dialect or your own recording setup? SpeechData.ai also collects speech data to spec, or you can book a call.

About SpeechData.ai

SpeechData.ai licenses conversational speech datasets in 60 languages and dialects and runs custom speech data collection. It's part of Spirelight. Browse the full catalog.

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