2022年12月11日
2019,SubSpectralNet – Using Sub-spectrogram Based Convolutional Neural Networks for Acoustic Scene Classification
摘要： DOI:10.1109/ICASSP.2019.8683288| DCASE 2018 阅读全文
posted @ 2022-12-11 20:58 prettysky 阅读(62) 评论(0) 推荐(0)
2017,The Details That Matter: Frequency Resolution of Spectrograms in Acoustic Scene Classification
摘要： DCASE 2017 阅读全文
posted @ 2022-12-11 20:54 prettysky 阅读(16) 评论(0) 推荐(0)
2019,Enhancing Sound Texture in CNN-based Acoustic Scene Classification
摘要： DOI: 10.1109/ICASSP.2019.8683490| Texture 阅读全文
posted @ 2022-12-11 20:40 prettysky 阅读(17) 评论(0) 推荐(0)
2017,Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features
摘要： DOI:10.21437/INTERSPEECH.2017-431| SAI(Stabilised Auditory Image) 阅读全文
posted @ 2022-12-11 19:17 prettysky 阅读(14) 评论(0) 推荐(0)
2010,Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques
摘要： DOI: 10.48550/arXiv.1003.4083| MFCCs 阅读全文
posted @ 2022-12-11 18:29 prettysky 阅读(39) 评论(0) 推荐(0)
2022,SpectNet : End-to-End Audio Signal Classification Using Learnable Spectrograms
摘要： DOI:10.48550/arXiv.2211.09352| learnable MFCCs 阅读全文
posted @ 2022-12-11 18:05 prettysky 阅读(35) 评论(0) 推荐(0)
2009,Non-speech audio event detection
摘要： DOI: 10.1109/ICASSP.2009.4959998 阅读全文
posted @ 2022-12-11 18:02 prettysky 阅读(16) 评论(0) 推荐(0)