Datasetpublic

datadriven-company/TTS-Romanian

TTS-Romanian A large-scale, high-quality Romanian speech dataset for text-to-speech and automatic speech recognition. Data Source Derived from CartiaAudio.eu — Romanian audiobooks. Dataset Statistics Metric Value Total samples 267,410 Total duration 720 hours Unique speakers 456 Average duration 9.7 seconds Average DNSMOS 3.84 Features Field Type Description __key__ string Unique sample identifier… See the full description on the dataset page: https://huggingface.co/datasets/datadriven-company/TTS-Romanian.

sourceHugging Facecc-by-4.0updated 6mo agoView on Hugging Face

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Dataset Card

TTS-Romanian

A large-scale, high-quality Romanian speech dataset for text-to-speech and automatic speech recognition.

Data Source

Derived from [CartiaAudio.eu](https://cartiaaudio.eu/) — Romanian audiobooks.

Dataset Statistics

Metric	Value
Total samples	267,410
Total duration	720 hours
Unique speakers	456
Average duration	9.7 seconds
Average DNSMOS	3.84

Features

Field	Type	Description
`__key__`	string	Unique sample identifier
`mp3`	Audio	Audio (24kHz mono WAV)
`text`	string	Transcription
`language`	string	Language code (`ro`)
`speaker_id`	string	Speaker/audiobook identifier
`gender`	string	`male` or `female`
`dnsmos`	float	Audio quality score (1-5)

Usage

python

from datasets import load_dataset

ds = load_dataset("datadriven-company/TTS-Romanian", split="train")

# Access a sample
sample = ds[0]
print(sample["text"])
# Audio: sample["mp3"]

License

cc-by-4.0