---
license: apache-2.0
task_categories:
- text-to-speech
language:
- si
- en
tags:
- Sinhala
- TTS
- VoiceDatase
- TextToSpeech
pretty_name: Sinhala Text to speech Dataset
---

# Sinhala Text-to-Speech (TTS) Dataset Release

This dataset is the outcome of my **Final Year Project** at the **Department of Computer Science and Engineering, University of Moratuwa**. The goal was to build a high-quality, publicly available Sinhala speech corpus to support research and development in speech synthesis and related fields.

## About the Author

**Safnas Kaldeen**  
Undergraduate Student – University of Moratuwa, CSE Department  
GitHub Repository: [https://github.com/SafnasKaldeen/TTSx](https://github.com/SafnasKaldeen/TTSx)

## Dataset Description

The dataset consists of speech recordings and their corresponding text transcriptions collected from four native Sinhala speakers. Each speaker read a curated set of sentences carefully designed to cover a wide range of phonetic and prosodic features of the Sinhala language. This enables training robust and natural-sounding Text-to-Speech models.

| Speaker | Duration (hours) | Description                                   |
| ------- | ---------------- | --------------------------------------------- |
| Isuru   | 1.22             | Clear male voice with neutral tone            |
| Yasindu | 2.18             | Male voice with natural intonation variations |
| Harini  | 2.14             | Female voice, expressive and fluent           |
| Dinithi | 4.82             | Female voice with longer recording duration   |

### Data Collection and Quality

- All recordings were captured using high-quality microphones in a quiet environment to ensure clarity and minimal background noise.
- Transcriptions are manually verified for accuracy and aligned at the sentence level.
- Text data is provided in standard Sinhala Unicode encoding.
- The dataset includes a diverse set of phonemes and common sentence structures to help improve model generalization.

## Intended Use Cases

This dataset is designed to support:

- Training Sinhala TTS systems with natural voice synthesis.
- Speaker adaptation and multi-speaker voice modeling.
- Research in prosody, speech segmentation, and phoneme modeling.
- Educational purposes related to speech and language technologies.

## How to Access and Cite

The complete dataset, along with preprocessing scripts and training guidelines, is available at the GitHub repository:  
[https://github.com/SafnasKaldeen/TTSx](https://github.com/SafnasKaldeen/TTSx)

If you use this dataset in your research or projects, kindly acknowledge by citing the repository or mentioning **Safnas Kaldeen** as the dataset author.

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Thank you for your interest in advancing Sinhala speech technology!
---