acoustic
Datasets
All datasets matching “acoustic”TUT-urban-acoustic-scenes-2018-development-16bit
Dataset Card for "TUT-urban-acoustic-scenes-2018-development-16bit"
Dataset Summary
TUT Urban Acoustic Scenes 2018 development dataset consists of 10-seconds audio segments from 10 acoustic scenes:
Airport - airport
Indoor shopping mall - shopping_mall
Metro station - metro_station
Pedestrian street - street_pedestrian
Public square - public_square
Street with medium level of traffic - street_traffic
Travelling by a tram - tram
Travelling by a bus - bus
Travelling by an… See the full description on the dataset page: https://huggingface.co/datasets/wetdog/TUT-urban-acoustic-scenes-2018-development-16bit.acoustic_scattering_discontinuousThis Dataset is part of The Well Collection.
How To Load from HuggingFace Hub
Be sure to have the_well installed (pip install the_well)
Use the WellDataModule to retrieve data as follows:
from the_well.benchmark.data import WellDataModule
# The following line may take a couple of minutes to instantiate the datamodule
datamodule = WellDataModule(
"hf://datasets/polymathic-ai/",
"acoustic_scattering_discontinuous",
)
train_dataloader = datamodule.train_dataloader()
for… See the full description on the dataset page: https://huggingface.co/datasets/polymathic-ai/acoustic_scattering_discontinuous.Underwater-Acoustic-Channel-Repository
Underwater Acoustic Channel Repository
This Hugging Face dataset is a structured, checksum-preserving mirror of version 1.0 of the Underwater Acoustic Channel Repository. The original dataset was published by Zhengnan Li, Mandar Chitre, Diego Cuji, James Preisig, Andrew Singer, Milica Stojanovic, and Paul van Walree.
The collection contains measured underwater acoustic channel impulse responses (CIRs) from eight at-sea experimental groups. Channel and accompanying noise files… See the full description on the dataset page: https://huggingface.co/datasets/UWA-CP/Underwater-Acoustic-Channel-Repository.TUT-urban-acoustic-scenes-2018-development
Dataset Card for "TUT-urban-acoustic-scenes-2018-development"
Dataset Summary
TUT Urban Acoustic Scenes 2018 development dataset consists of 10-seconds audio segments from 10 acoustic scenes:
Airport - airport
Indoor shopping mall - shopping_mall
Metro station - metro_station
Pedestrian street - street_pedestrian
Public square - public_square
Street with medium level of traffic - street_traffic
Travelling by a tram - tram
Travelling by a bus - bus
Travelling by an… See the full description on the dataset page: https://huggingface.co/datasets/wetdog/TUT-urban-acoustic-scenes-2018-development.DEMAND-acoustic-noiseAbout Dataset
A database of 16-channel environmental noise recordings
Source: https://www.kaggle.com/datasets/chrisfilo/demand
License: CC-BY-4.0
Introduction
Microphone arrays, a (typically regular) arrangement of several microphones, allow for a number of interesting signal processing techniques. The correlation of audio signals from microphones that are located in close proximity with each other can, for example, be used to determine the spatial location of sound source relative to the… See the full description on the dataset page: https://huggingface.co/datasets/voice-biomarkers/DEMAND-acoustic-noise.ambient-acoustic-context
Dataset Card for Ambient Acoustic Context
The Ambient Acoustic Context dataset contains 1-second segments for activities that occur in a workplace setting. Each segment is associated with speaker_id.
Dataset Details
Using Amazin Mechanical Turk, crowd workers were asked to listen to 1-second segments and choose the right label. To ensure the quality of the annotations, audio segments that did not reach majority agreement among the turkers were excluded.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/ambient-acoustic-context.