Datasets:
license: mit
dataset_info:
- config_name: default
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits: null
download_size: 0
dataset_size: 0
- config_name: noisy-bg-snr-10
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: noisy-bg-snr-30
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: noisy-bg-snr-50
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: denoised-bg-snr-10
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: denoised-bg-snr-30
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: denoised-bg-snr-50
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: noisy-short-snr-10
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: noisy-short-snr-30
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: noisy-short-snr-50
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: denoised-short-snr-10
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: denoised-short-snr-30
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: denoised-short-snr-50
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: noisy-gauss-amp-0.001
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: noisy-gauss-amp-0.009
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: noisy-gauss-amp-0.017
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: denoised-gauss-amp-0.001
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: denoised-gauss-amp-0.009
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: denoised-gauss-amp-0.017
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: original
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
- config_name: denoised-original
features:
- name: md5_text
dtype: string
- name: file_name
dtype: string
- name: md5_audio
dtype: string
- name: duration
dtype: float32
- name: text
dtype: string
- name: audio_language
dtype: string
- name: text_language
dtype: string
- name: session_id
dtype: string
- name: speaker
dtype: string
- name: type_concept
dtype: string
- name: recording_context
dtype: string
- name: medical_entities
dtype: string
- name: filename
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: test
num_bytes: 250000000
num_examples: 500
download_size: 212500000
dataset_size: 250000000
configs:
- config_name: noisy-bg-snr-10
data_files:
- split: test
path: noisy-bg-snr-10/test-*
- config_name: noisy-bg-snr-30
data_files:
- split: test
path: noisy-bg-snr-30/test-*
- config_name: noisy-bg-snr-50
data_files:
- split: test
path: noisy-bg-snr-50/test-*
- config_name: denoised-bg-snr-10
data_files:
- split: test
path: denoised-bg-snr-10/test-*
- config_name: denoised-bg-snr-30
data_files:
- split: test
path: denoised-bg-snr-30/test-*
- config_name: denoised-bg-snr-50
data_files:
- split: test
path: denoised-bg-snr-50/test-*
- config_name: noisy-short-snr-10
data_files:
- split: test
path: noisy-short-snr-10/test-*
- config_name: noisy-short-snr-30
data_files:
- split: test
path: noisy-short-snr-30/test-*
- config_name: noisy-short-snr-50
data_files:
- split: test
path: noisy-short-snr-50/test-*
- config_name: denoised-short-snr-10
data_files:
- split: test
path: denoised-short-snr-10/test-*
- config_name: denoised-short-snr-30
data_files:
- split: test
path: denoised-short-snr-30/test-*
- config_name: denoised-short-snr-50
data_files:
- split: test
path: denoised-short-snr-50/test-*
- config_name: noisy-gauss-amp-0.001
data_files:
- split: test
path: noisy-gauss-amp-0.001/test-*
- config_name: noisy-gauss-amp-0.009
data_files:
- split: test
path: noisy-gauss-amp-0.009/test-*
- config_name: noisy-gauss-amp-0.017
data_files:
- split: test
path: noisy-gauss-amp-0.017/test-*
- config_name: denoised-gauss-amp-0.001
data_files:
- split: test
path: denoised-gauss-amp-0.001/test-*
- config_name: denoised-gauss-amp-0.009
data_files:
- split: test
path: denoised-gauss-amp-0.009/test-*
- config_name: denoised-gauss-amp-0.017
data_files:
- split: test
path: denoised-gauss-amp-0.017/test-*
- config_name: original
data_files:
- split: test
path: original/test-*
- config_name: denoised-original
data_files:
- split: test
path: denoised-original/test-*
task_categories:
- text-to-speech
language:
- en
tags:
- dataset
- audio
- speech
- asr
- denoising
pretty_name: Speech Brain Noise Evaluation Dataset
size_categories:
- 10K<n<100K
Denoising Impact Evaluation Dataset
Dataset Description
The ekacare/denoising-impact-evaluation-dataset is a comprehensive benchmark dataset designed to evaluate the effects of speech enhancement on automatic speech recognition (ASR) systems in medical speech contexts. It includes paired noisy and denoised audio subsets under controlled acoustic conditions to support systematic analysis of denoising performance.
Source Data
Base Dataset: ekacare/eka-medical-asr-evaluation-dataset
Selection Criteria: 500 English audio samples with duration >= 15 seconds
Domain: Medical speech containing clinical terminology and pharmaceutical names
Language: English
Noise Augmentation Pipeline
The Noisy subsets in this dataset were synthetically augmented using the audiomentations library with three distinct noise types at varying intensity levels:
Noise Types & Configurations:
Background Noise
SNR levels: 10 dB, 30 dB, 50 dB
Short Noise
SNR levels: 10 dB, 30 dB, 50 dB
Gaussian Noise
Amplitude levels: 0.001, 0.009, 0.017
Denoising
All audio samples underwent enhancement using SpeechBrain's SpectralMaskEnhancement framework with the pre-trained MetricGAN-plus-voicebank model
Dataset Structure
Subsets
Each subset in the dataset follows a structured naming convention that encodes both the type of acoustic corruption applied and its corresponding denoised counterpart. All noisy and denoised subsets are derived from the same underlying set of 500 original medical speech recordings, ensuring one-to-one correspondence across conditions.
Noisy Subsets
Subsets prefixed with noisy- are created by applying synthetic noise to the original clean audio using the audiomentations library. The subset name specifies:
- the noise type (
bgfor background noise,shortfor short noise,gaussfor Gaussian noise), and - the noise severity, expressed either as signal-to-noise ratio (SNR, in dB) or noise amplitude.
For example:
noisy-bg-snr-10contains audio corrupted with continuous background noise at 10 dB SNR.noisy-short-snr-30contains audio with short noise events at 30 dB SNR.noisy-gauss-amp-0.009contains audio with additive Gaussian noise of amplitude 0.009.
Denoised Subsets
Subsets prefixed with denoised- are generated by applying the same speech enhancement model to their corresponding noisy subsets. Specifically, each denoised subset is obtained by processing the paired noisy audio using SpeechBrain’s SpectralMaskEnhancement framework with the pre-trained MetricGAN-plus-voicebank model.
For example:
denoised-bg-snr-10is produced by denoising the audio innoisy-bg-snr-10.denoised-gauss-amp-0.017corresponds directly tonoisy-gauss-amp-0.017.
Original and Denoised-Original
In addition to synthetically corrupted audio, the dataset also includes:
original: the unmodified clean medical speech recordings.denoised-original: the output of applying the same enhancement pipeline directly to the original audio.
This structure enables controlled, paired comparisons between noisy and denoised audio under identical conditions, facilitating systematic evaluation of the impact of speech enhancement on ASR performance.
Hence, we have the following subsets
- noisy-bg-snr-10: 500 samples
- test: 500 samples
- noisy-bg-snr-30: 500 samples
- test: 500 samples
- noisy-bg-snr-50: 500 samples
- test: 500 samples
- denoised-bg-snr-10: 500 samples
- test: 500 samples
- denoised-bg-snr-30: 500 samples
- test: 500 samples
- denoised-bg-snr-50: 500 samples
- test: 500 samples
- noisy-short-snr-10: 500 samples
- test: 500 samples
- noisy-short-snr-30: 500 samples
- test: 500 samples
- noisy-short-snr-50: 500 samples
- test: 500 samples
- denoised-short-snr-10: 500 samples
- test: 500 samples
- denoised-short-snr-30: 500 samples
- test: 500 samples
- denoised-short-snr-50: 500 samples
- test: 500 samples
- noisy-gauss-amp-0.001: 500 samples
- test: 500 samples
- noisy-gauss-amp-0.009: 500 samples
- test: 500 samples
- noisy-gauss-amp-0.017: 500 samples
- test: 500 samples
- denoised-gauss-amp-0.001: 500 samples
- test: 500 samples
- denoised-gauss-amp-0.009: 500 samples
- test: 500 samples
- denoised-gauss-amp-0.017: 500 samples
- test: 500 samples
- original: 500 samples
- test: 500 samples
- denoised-original: 500 samples
- test: 500 samples
Usage
Load specific subset and split:
from datasets import load_dataset
# Load specific subset and split
dataset = load_dataset('ekacare/speech-brain-noise-evaluation-dataset', 'noisy-bg-snr-10', split='test')
# Load everything
dataset = load_dataset('ekacare/speech-brain-noise-evaluation-dataset')
Dataset Creation
This dataset was created using StreamableDatasetManager on 2025-10-13T21:45:58.155717.
Data Fields
The dataset includes the following columns:
- md5_text: String data
- file_name: String data
- md5_audio: String data
- duration: Float32 data
- text: String data
- audio_language: String data
- text_language: String data
- session_id: String data
- speaker: String data
- type_concept: String data
- recording_context: String data
- medical_entities: String data
- filename: String data
- audio: Audio data (16kHz sampling rate)
Technical Details
- Total samples: 10,000
- Shard length: 100
- Number of subsets: 20
- Number of splits: 2
- Audio format: 16kHz sampling rate