README.md

---
dataset_info:
  features:
  - name: filename
    dtype: string
  - name: label
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  splits:
  - name: train
    num_bytes: 5964376050.089
    num_examples: 3381
  download_size: 5928564031
  dataset_size: 5964376050.089
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc0-1.0
task_categories:
- audio-to-audio
language:
- en
tags:
- code
---




# Speech and Noise Dataset

## Overview
This dataset contains three types of audio recordings:

1. **Clean Speech** → recordings of only speech without noise.  
2. **Noisy Speech** → recordings of speech mixed with noise.  
3. **Noise Only** → recordings of only background/environmental noise.  

The dataset is designed for **speech enhancement, noise reduction, and speech recognition research**.

---

## Dataset Structure
clean_speech/ → speech-only recordings
noisy_speech/ → speech mixed with noise
noise_only/ → noise-only recordings
metadata.csv → mapping between files and labels
---


## Metadata
- `filename`: Path of the audio file  
- `label`: Category (`clean_speech`, `noisy_speech`, `noise_only`)  

Example:

| filename         | label         |
|------------------|--------------|
| clean_speech/1.wav | clean_speech |
| noisy_speech/5.wav | noisy_speech |
| noise_only/3.wav   | noise_only   |

---

## Applications
- Speech enhancement models  
- Noise reduction systems  
- Robust ASR (Automatic Speech Recognition) training  
- Machine learning tasks for audio classification  

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## License
CC0 1.0 – Public Domain Dedication.  
You are free to use this dataset for research and commercial purposes.