https://github.com/edufonseca/icassp19
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification
Papers with Code 아카이브
Acoustic Scene Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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The goal of acoustic scene classification is to classify a test recording into one of the provided predefined classes that characterizes the environment in which it was recorded.
Source: DCASE 2019 Source: DCASE 2018
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/giusenso/seld-tcn
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
https://github.com/kkoutini/passt_hear21
https://github.com/mathworks/Baseline-MATLAB-DCASE
https://github.com/numpde/phonepad
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling
https://github.com/tbayetird/audio_environment_description
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification
https://github.com/yagyapandeya/CNN-with-Few-Data-VGGish-
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.