TAU Urban Acoustic Scenes 2019 Openset development dataset is designed for researching open set classification problem in acoustic scene classification. In this problem, the test recording may be from a different environment than the 10 target classes. The 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 underground metro - metro Urban park - park In addition, material for Unknown scene `unknown` is provided from 4 scenes: Beach -...
TAU Urban Acoustic Scenes 2019, Leaderboard dataset consists of 10-seconds audio segments from 10 ac...
TUT Urban Acoustic Scenes 2020 Mobile development dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2023 Mobile evaluation dataset consists of 1-seconds audio segments from 1...
TAU Urban Acoustic Scenes 2019 Openset development dataset is designed for researching open set clas...
TAU Urban Acoustic Scenes 2019 Openset evaluation dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2019 Openset leaderboard dataset consists of 10-seconds audio segments fro...
TAU Urban Acoustic Scenes 2019 development dataset consists of 10-seconds audio segments from 10 aco...
TAU Urban Acoustic Scenes 2020 3Class development dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2020 3Class development dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2019 evaluation dataset consists of 10-seconds audio segments from 10 acou...
TUT Urban Acoustic Scenes 2019 Mobile development dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2022 Mobile development dataset consists of 1-seconds audio segments from ...
TUT Urban Acoustic Scenes 2020 Mobile development dataset consists of 10-seconds audio segments from...
TUT Urban Acoustic Scenes 2018 development dataset consists of 10-seconds audio segments from 10 aco...
TAU Urban Acoustic Scenes 2019 Mobile, Evaluation dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2019, Leaderboard dataset consists of 10-seconds audio segments from 10 ac...
TUT Urban Acoustic Scenes 2020 Mobile development dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2023 Mobile evaluation dataset consists of 1-seconds audio segments from 1...
TAU Urban Acoustic Scenes 2019 Openset development dataset is designed for researching open set clas...
TAU Urban Acoustic Scenes 2019 Openset evaluation dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2019 Openset leaderboard dataset consists of 10-seconds audio segments fro...
TAU Urban Acoustic Scenes 2019 development dataset consists of 10-seconds audio segments from 10 aco...
TAU Urban Acoustic Scenes 2020 3Class development dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2020 3Class development dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2019 evaluation dataset consists of 10-seconds audio segments from 10 acou...
TUT Urban Acoustic Scenes 2019 Mobile development dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2022 Mobile development dataset consists of 1-seconds audio segments from ...
TUT Urban Acoustic Scenes 2020 Mobile development dataset consists of 10-seconds audio segments from...
TUT Urban Acoustic Scenes 2018 development dataset consists of 10-seconds audio segments from 10 aco...
TAU Urban Acoustic Scenes 2019 Mobile, Evaluation dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2019, Leaderboard dataset consists of 10-seconds audio segments from 10 ac...
TUT Urban Acoustic Scenes 2020 Mobile development dataset consists of 10-seconds audio segments from...
TAU Urban Acoustic Scenes 2023 Mobile evaluation dataset consists of 1-seconds audio segments from 1...