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---
dataset_info:
features:
- name: audio
dtype: audio
- name: text
dtype: string
- name: source
dtype: string
- name: sample_rate
dtype: int64
- name: speaker
dtype: string
splits:
- name: train
num_bytes: 2942869578
num_examples: 13000
download_size: 3303296950
dataset_size: 2942869578
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc
task_categories:
- text-to-speech
- automatic-speech-recognition
language:
- tr
size_categories:
- 10K<n<100K
---
# Synthetic Turkish TTS Data
This dataset was created by generating synthetic Turkish text across multiple speech scenarios. The text was produced in the following domains: `finance_master`, `cs_master`, `parcel_delivery`, `ecommerce`, `telecom`, `isp_support`, `technical_support`, `subscription`, `insurance`, `health_appointments`, `public_services`, `education_registration`, and `daily_speech`.
These synthetic texts were then synthesized with a high-quality Turkish TTS model. The dataset is intended to be used as synthetic training data for future Turkish TTS model training.
## Dataset Summary
- Total number of samples: **13,000**
- Total number of speakers: **4**
- Total duration: **28 hours 50 minutes 13 seconds**
### Speaker Distribution
- **ali**: 6 hours 50 minutes 57 seconds (3250 wav files)
- **zeynep**: 6 hours 50 minutes 35 seconds (3250 wav files)
- **leyla**: 7 hours 10 minutes 55 seconds (3250 wav files)
- **alev**: 7 hours 57 minutes 46 seconds (3250 wav files)
## Columns
- `audio`: audio file
- `text`: corresponding transcription
- `source`: scenario/domain from which the sample was generated
- `sample_rate`: audio sampling rate
- `speaker`: speaker name
## License
This dataset is released under the CC BY 4.0 license. You may use, share, and adapt the dataset provided that proper attribution is given.
## Audio Generation
The audio samples in this dataset were generated using the Freya AI API.
Reference: https://www.linkedin.com/company/107923818/

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