Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration
Perceptual audio coding is heavily and successfully applied for audio compression.
However, perceptual audio coders may inject audible coding artifacts when encoding audio
at low bitrates. Low-bitrate audio restoration is a challenging problem, which tries to recover
a high-quality audio sample close to the uncompressed original from a low-quality encoded
version. In this paper, we propose a novel data-driven method for audio restoration, where
temporal and spectral dynamics are explicitly captured by a deep time-frequency-LSTM …
However, perceptual audio coders may inject audible coding artifacts when encoding audio
at low bitrates. Low-bitrate audio restoration is a challenging problem, which tries to recover
a high-quality audio sample close to the uncompressed original from a low-quality encoded
version. In this paper, we propose a novel data-driven method for audio restoration, where
temporal and spectral dynamics are explicitly captured by a deep time-frequency-LSTM …
[引用][C] Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate
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