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MISSING DATA IMPUTATION FOR SPECTRAL AUDIO SIGNALS ...
https://paris.cs.illinois.edu/pubs/smaragdis-mlsp09.pdf#:~:text=Although%20existing%20generic%20imputation%20algorithms%20can%20be%20used,speech%2C%20or%20in%20the%20case%20of%20musical%20audio.
Missing Data Imputation for Time-Frequency …
http://paris.cs.illinois.edu/Paris_Smaragdis_page/Paris_Smaragdis_Publications_files/smaragdis-jsps10.pdf
In this paper we address the problem of estimating missing regions of time-frequency representations of audio signals. The problem of missing data in the time-frequency domain occurs in several scenarios. For example, this problem is common in speech processing algorithms that employ computational auditory scene analysis or related
Missing Data Imputation for Time-Frequency Representations ...
https://link.springer.com/article/10.1007%2Fs11265-010-0512-7
Other algorithms such as those in [1, 4] are suitable for imputation of missing time-frequency components in speech, or in the case of musical audio. However, these algorithms typically exploit continuity in spectral structures and are implicitly aided by the fact that the targeted recordings usually contain signals from either a single source (the voice), or …
Missing data imputation for time-frequency …
https://citeseerx.ist.psu.edu/showciting?cid=11231870
Clipping or saturation in audio signals is a very common problem in signal processing, for which, in the severe case, there is still no satisfactory solution. In such case, there is a tremendous loss of information, and traditional methods fail to appropriately recover the signal.
Missing data imputation for time-frequency …
https://www.academia.edu/2899226/Missing_data_imputation_for_time_frequency_representations_of_audio_signals
Abstract With the recent attention towards audio processing in the time-frequency domain we increasingly encounter the problem of missing data within that representation. In this paper we present an approach that allows us to recover missing values ... Missing data imputation for time-frequency representations of audio signals. 2011. Bhiksha Raj.
Missing data imputation for time-frequency representations ...
https://experts.illinois.edu/en/publications/missing-data-imputation-for-time-frequency-representations-of-aud
With the recent attention towards audio processing in the time-frequency domain we increasingly encounter the problem of missing data within that representation. In this paper we present an approach that allows us to recover missing values in the time-frequency domain of audio signals.
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