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.
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
Label Distribution
- speech: 1217 samples
- noisy: 2164 samples
Usage
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
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
