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--- |
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license: cc-by-sa-3.0 |
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task_categories: |
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- text-to-speech |
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language: |
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- pt |
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size_categories: |
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- 10K<n<100K |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: "train.csv" |
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- split: metadata |
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path: "metadata.csv" |
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--- |
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# Brazilian Portuguese Merged Speech Dataset (Derived from Common Voice) |
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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**. |
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## 📌 Dataset Details |
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- **Source:** Derived from [Common Voice Corpus 20.0](https://commonvoice.mozilla.org/) |
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- **Language:** 🇧🇷 Brazilian Portuguese (pt-BR) |
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- **Format:** MP3 (24 kHz, mono, 64 kbps) |
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- **Metadata:** `metadata.csv` file with corresponding transcriptions |
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- **License:** [CC BY-SA 3.0](https://creativecommons.org/licenses/by-sa/3.0/) |
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## 🎯 Preprocessing Steps |
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This dataset was generated using a **Python script** that: |
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1. **Filtered Brazilian Portuguese sentences** (removed `pt-PT`). |
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2. **Kept only validated recordings** (at least **one upvote**). |
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3. **Merged short clips from the same speaker** (5 to 27 sec per file). |
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4. **Added 300ms silence** between merged sentences. |
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5. **Normalized the audio**: |
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- **24 kHz sample rate** |
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- **16-bit sample width** |
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- **Mono audio** |
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- **64 kbps bitrate** |
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6. **Generated a transcription file (`metadata.csv`)**. |
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## 📂 File Structure |
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``` |
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├── wavs/ # Processed audio files (MP3) |
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│ ├── segment_1.mp3 |
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│ ├── segment_2.mp3 |
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│ ├── ... |
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├── metadata.csv # Transcriptions (filename|text) |
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├── segment_index.json # Processing progress tracking |
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├── README.md # This file |
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``` |
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prepare complete |
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samples : 35072 |
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time data : 187:12:22 |
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min sec : 5.06 |
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max sec : 30.0 |
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## 📜 License & Attribution |
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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. |
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To comply with this license: |
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- **You must give credit** to [Mozilla Common Voice](https://commonvoice.mozilla.org/). |
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- **If you modify or redistribute this dataset,** you must release it under the **same CC BY-SA 3.0 license**. |
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- **Do not imply endorsement** from Mozilla or Common Voice. |
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### 📌 Citation Example: |
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``` |
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Derived from Mozilla Common Voice, licensed under CC BY-SA 3.0. |
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https://commonvoice.mozilla.org/ |
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``` |
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--- |
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## 🚀 Usage Examples |
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### **Python (Load Metadata)** |
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```python |
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import pandas as pd |
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metadata = pd.read_csv("metadata.csv", sep="|") |
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print(metadata.head()) |
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``` |
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This is made to be used on F5-TTS, follow instructions from https://github.com/SWivid/F5-TTS/discussions/57 to prepare the dataset. |
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### **Using with Speech Models** |
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You can use this dataset for: |
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- **Training Speech-to-Text (STT) models** (e.g., Whisper, DeepSpeech) |
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- **Building Text-to-Speech (TTS) systems** |
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- **Speaker recognition & voice cloning** |
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--- |
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## 💡 Contributing & Feedback |
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If you have any suggestions, feel free to open an issue or pull request on Hugging Face. |
