# Bangla_Text_To_Speach — Data

来源：https://www.kaggle.com/competitions/bangla-text-to-speach/data

采集时间：2026-10-24T16:01:15Z

Dataset Description: Bangla Text-to-Speech (TTS) Challenge
This dataset is designed for the development and evaluation of Text-to-Speech (TTS) models specifically for the Bengali (Bangla) language. It provides a robust foundation for researchers and developers to create systems that can synthesize natural-sounding speech from Bengali text.

### Dataset Summary
The core of this dataset originates from a high-quality Speech-to-Text (STT) corpus, repurposed here for the inverse task of TTS. It covers a wide range of linguistic variations, including formal speech, common inquiries, and descriptive statements.

Language: Bengali (Bangla)

Audio Format: .wav (sampled at 16kHz or 22.05kHz)

Text Encoding: UTF-8

Total Duration: [Insert Total Hours, e.g., 10 Hours]

Total Samples: [Insert Total Number of Audio Clips]

### File Structure
The dataset is organized into training and testing components to facilitate easy integration with popular ML frameworks like PyTorch or TensorFlow.

train/: A directory containing the source audio files (e.g., audio_001.wav).

train.csv: The primary mapping file for training.

id: Unique identifier for the sample.

text: The Bengali transcription (the input for your model).

audio_path: The relative path to the corresponding audio file (the target for your model).

test.csv: The evaluation set.

id: Unique identifier.

text: The Bengali text that needs to be converted into speech.

sample_submission.csv: A template showing the required format for competition entries.

### Data Preprocessing & Quality
The audio files have been [mention any cleaning done, e.g., "normalized for volume and trimmed of long silences"]. The text has been standardized to ensure consistent punctuation and numeral representation in Bengali.

### Recommended Use Cases
This dataset is ideal for training:

End-to-End TTS models (e.g., VITS, Glow-TTS).

Acoustic Models (e.g., Tacotron 2) combined with Vocoders (e.g., HiFi-GAN).

Bangla Language Normalization tools.