# Documentation Dataset: TTS_Multilingual_Data

## Dataset Summary
This large-scale multilingual corpus is designed for linguistic analysis and the development of speech processing models. It supports tasks such as **Text-to-Speech (TTS)**, **Automatic Speech Recognition (ASR)**, and **speaker identification**. Structured in **Parquet format**, it serves as a key resource for training and evaluating models, using metrics tailored to ASR and speech technologies.

## Thematic Categories
Our dataset is organized into the following thematic categories. Please note that all audio files have a maximum duration of **20 seconds**.

### Discours & Conférences
- "conférence TED"
- "discours politique"
- "interview"
- "podcast"

### Conversations & Dialogues
- "conversation téléphonique"
- "dialogue spontané"
- "discussion en groupe"
- "interview audio"

### Contenus Médias & Divertissement
- "extrait de radio"
- "chronique radio"
- "narration audio"

### Instructions & Assistants Vocaux
- "commandes vocales"
- "assistant vocal"
- "notification audio"
- "message automatique"

### Langage Informel & Expressions Courantes
- "argot"
- "expressions françaises"
- "langage familier"
- "parler jeune"
- "émotions en parole"

### Accessibilité & Inclusion
- "parole avec accent"
- "voix de personnes âgées"
- "enfants qui parlent"

### Littérature & Culture
- "littérature"
- "conte"
- "fable"
- "poésie"
- "extrait de roman"

## Supported Tasks
- **Text-to-Speech (TTS)**: The dataset can be used to train models for generating speech from text.
- **Automatic Speech Recognition (ASR)**: The dataset can be used to train models for transcribing speech to text. The most common evaluation metric is the **Word Error Rate (WER)**.
- **Speaker Identification**: The dataset supports tasks related to identifying speakers based on their voice.

## Dataset Structure
### Organisation of the Project
The dataset, **TTS_Multilingual_Data**, is organized as follows:
containing one subfolder. The train subfolder includes data files in Parquet format (e.g., data1.parquet), while the audio subfolder contains audio files in WAV format (e.g., audio1.wav). Additionally, a readme.md file at the root level provides detailed information about the dataset's content and usage.

### Columns
- **audio_path** (string): Path to the audio file.
- **text** (string): Ground truth transcription.
- **duration** (float64): Duration of the audio file in seconds.
- **speaker_id** (string or int): Identifier for the speaker.
- **audio_format** (string): Format of the audio file (e.g., WAV, MP3).
- **sampling_rate** (int): Sampling rate of the audio file.
- **language** (string): Language of the transcription.
- **gender** (string): Gender of the speaker (if available).

## File Format
The dataset is delivered in **Parquet format**, optimized for efficient storage and processing.

## 8. Contact
For inquiries, please contact:

- **Email**: [info@databoost.us](mailto\:info@databoost.us)
- **Website**: [databoost.us](https://databoost.us)

## Citations Information
If you use this dataset, please cite it as follows:
```bibtex
@article{
  title={TTS_Multilingual_Data},
  author={Databoost},
  year={2025}
}