- reshape your vector into a matrix, it possible that you might have to zero pad it or truncate it to able to reashe the vector into a matrix with desider number or row.
- use audioFeatureExtractor to create an extractor with desird parameters and use it to extract spectrograms from you audio matrix
- feed the spectrograms to your model. if your spectrograms are too large, feed the matrix in small batches
Detecting signals from .wav files after deep learning network is trained
조회 수: 1 (최근 30일)
이전 댓글 표시
Are there any follow up tutorials or examples on how to detect sounds in .wav files after you train a network to classify spectrograms? The 'deep learning with MATLAB course' teaches how to classify spectrograms, but in order for this to be useful in my work I wanted to be able to then use the the trained network to evaluate ~30 min .wav files and detect a desired sound type. Any links or suggestions are welcome.
댓글 수: 1
ytzhak goussha
2021년 6월 30일
Hey,
답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Sequence and Numeric Feature Data Workflows에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!