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Aynursusuz/noisy-speech-dataset

Noisy Speech Dataset Binary classification dataset for detecting noisy audio in speech. Dataset Description This dataset is derived from haydarkadioglu/speech-noise-dataset with remapped labels: speech: Clean speech audio (originally clean_speech) noisy: Noisy audio including both noisy speech and noise-only samples (originally noisy_speech + noise_only) Dataset Statistics Split Samples Train 2873 Test 508 Label… See the full description on the dataset page: https://huggingface.co/datasets/Aynursusuz/noisy-speech-dataset.

sourceHugging Faceapache-2.0updated 10mo agoView on Hugging Face
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Dataset Card

Noisy Speech Dataset

Binary classification dataset for detecting noisy audio in speech.

Dataset Description

This dataset is derived from haydarkadioglu/speech-noise-dataset with remapped labels:

  • —speech: Clean speech audio (originally clean_speech)
  • —noisy: Noisy audio including both noisy speech and noise-only samples (originally noisy_speech + noise_only)

Dataset Statistics

SplitSamples
Train2873
Test508

Label Distribution

  • —speech: 1217 samples
  • —noisy: 2164 samples

Usage

python
from datasets import load_dataset

# Load dataset
dataset = load_dataset("Aynursusuz/noisy-speech-dataset")

# Access train/test splits
train_data = dataset['train']
test_data = dataset['test']

# Example
print(train_data[0])

Model Training

python
from transformers import AutoModelForAudioClassification, TrainingArguments, Trainer

model = AutoModelForAudioClassification.from_pretrained(
    "MIT/ast-finetuned-audioset-10-10-0.4593",
    num_labels=2,
    label2id={"speech": 0, "noisy": 1},
    id2label={0: "speech", 1: "noisy"}
)

# Train your model...

Citation

Original dataset: haydarkadioglu/speech-noise-dataset

License

Apache 2.0