---
license: cc-by-sa-3.0
task_categories:
- text-to-speech
language:
- pt
size_categories:
- 10K<n<100K


configs:
- config_name: default
  data_files:
  - split: train
    path: "train.csv"
  - split: metadata
    path: "metadata.csv"
---



# Brazilian Portuguese Merged Speech Dataset (Derived from Common Voice)

This dataset is a **preprocessed and merged** version of the [Mozilla Common Voice](https://commonvoice.mozilla.org/) dataset for **Brazilian Portuguese (pt-BR)**. It was created by filtering, merging, and normalizing audio clips to improve usability for **speech recognition** and **TTS (Text-to-Speech) training**.

## 📌 Dataset Details

- **Source:** Derived from [Common Voice Corpus 20.0](https://commonvoice.mozilla.org/)
- **Language:** 🇧🇷 Brazilian Portuguese (pt-BR)
- **Format:** MP3 (24 kHz, mono, 64 kbps)
- **Metadata:** `metadata.csv` file with corresponding transcriptions
- **License:** [CC BY-SA 3.0](https://creativecommons.org/licenses/by-sa/3.0/)

## 🎯 Preprocessing Steps

This dataset was generated using a **Python script** that:
1. **Filtered Brazilian Portuguese sentences** (removed `pt-PT`).
2. **Kept only validated recordings** (at least **one upvote**).
3. **Merged short clips from the same speaker** (5 to 27 sec per file).
4. **Added 300ms silence** between merged sentences.
5. **Normalized the audio**:
   - **24 kHz sample rate**
   - **16-bit sample width**
   - **Mono audio**
   - **64 kbps bitrate**
6. **Generated a transcription file (`metadata.csv`)**.


## 📂 File Structure

```
├── wavs/       # Processed audio files (MP3)
│   ├── segment_1.mp3
│   ├── segment_2.mp3
│   ├── ...
├── metadata.csv         # Transcriptions (filename|text)
├── segment_index.json   # Processing progress tracking
├── README.md            # This file
```

prepare complete 
samples : 35072
time data : 187:12:22
min sec : 5.06
max sec : 30.0


## 📜 License & Attribution

This dataset is released under the **Creative Commons Attribution-ShareAlike 3.0 (CC BY-SA 3.0)** license, the same as the original Common Voice dataset.

To comply with this license:
- **You must give credit** to [Mozilla Common Voice](https://commonvoice.mozilla.org/).
- **If you modify or redistribute this dataset,** you must release it under the **same CC BY-SA 3.0 license**.
- **Do not imply endorsement** from Mozilla or Common Voice.

### 📌 Citation Example:
```
Derived from Mozilla Common Voice, licensed under CC BY-SA 3.0.
https://commonvoice.mozilla.org/
```

---

## 🚀 Usage Examples

### **Python (Load Metadata)**
```python
import pandas as pd

metadata = pd.read_csv("metadata.csv", sep="|")
print(metadata.head())
```
This is made to be used on F5-TTS, follow instructions from https://github.com/SWivid/F5-TTS/discussions/57 to prepare the dataset.


### **Using with Speech Models**
You can use this dataset for:
- **Training Speech-to-Text (STT) models** (e.g., Whisper, DeepSpeech)
- **Building Text-to-Speech (TTS) systems**
- **Speaker recognition & voice cloning**

---

## 💡 Contributing & Feedback

If you have any suggestions, feel free to open an issue or pull request on Hugging Face.