Learning long-term filter banks for audio source separation and audio scene classification

Learning long-term filter banks for audio source separation and audio scene classification

Abstract ■■■ Filter banks on short-time Fourier transform (STFT) spectrogram have long been studied to analyze and process audios. The frameshift in STFT procedure determines the temporal resolution. However, in many discriminative audio applications, long-term time and frequency correlations are ne...

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Bibliographic Details
Main Authors: Teng Zhang, Ji Wu
Format: Article
Language:English
Published: SpringerOpen 2018-05-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
Long-term filter banks
Deep neural network
Audio scene classification
Audio source separation
Online Access:http://link.springer.com/article/10.1186/s13636-018-0127-7

Internet

http://link.springer.com/article/10.1186/s13636-018-0127-7

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