Acoustic object canceller: removing a known signal from monaural recording using blind synchronization

In this paper, we propose a technique for removing a specific type of interference from a monaural recording. Nonstationary interferences are generally challenging to eliminate from such recordings. However, if the interference is a known sound like a cell phone ringtone, music from a CD or streamin...

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Bibliographic Details
Published in:EURASIP journal on audio, speech, and music processing speech, and music processing, 2023-09, Vol.2023 (1), p.35-16, Article 35
Main Authors: Kawamura, Takao, Yamaoka, Kouei, Wakabayashi, Yukoh, Ono, Nobutaka, Miyazaki, Ryoichi
Format: Article
Language:English
Subjects:
Acoustic object
Acoustics
Algorithms
Blind synchronization
Computer science
Engineering
Engineering Acoustics
Interference
Majorization–minimization algorithm
Mathematics in Music
Maximum likelihood estimation
Methodology
Musical recordings
Noise suppression
Normal distribution
Probabilistic models
Radio broadcasting
Recording
Sampling frequency mismatch
Signal processing
Signal Processing and Machine Learning for Speech and Audio in Acoustic Sensor Networks
Signal,Image and Speech Processing
Sound
Speech
Synchronism
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Summary:In this paper, we propose a technique for removing a specific type of interference from a monaural recording. Nonstationary interferences are generally challenging to eliminate from such recordings. However, if the interference is a known sound like a cell phone ringtone, music from a CD or streaming service, or a radio or TV broadcast, its source signal can be easily obtained. In our method, we define such interference as an acoustic object. Even if the sampling frequencies of the recording and the acoustic object do not match, we compensate for the mismatch and use the maximum likelihood estimation technique with the auxiliary function to remove the interference from the recording. We compare several probabilistic models for representing the object-canceled signal. Experimental evaluations confirm the effectiveness of our proposed method.
ISSN:1687-4722
1687-4714
1687-4722
DOI:10.1186/s13636-023-00300-y