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- W2495705551 abstract "Cocktail party problem is a classical scientific problem that has been studied for decades. Humans have remarkable skills in segregating target speech from a complex auditory mixture obtained in a cocktail party environment. Computational modeling for such a mechanism is however extremely challenging. This chapter presents an overview of several recent techniques for the source separation issues associated with this problem, including independent component analysis/blind source separation, computational auditory scene analysis, model-based approaches, non-negative matrix factorization and sparse coding. As an example, a multistage approach for source separation is included. The application areas of cocktail party processing are explored. Potential future research directions are also discussed." @default.
- W2495705551 created "2016-08-23" @default.
- W2495705551 creator A5036500713 @default.
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- W2495705551 date "2010-08-04" @default.
- W2495705551 modified "2023-10-18" @default.
- W2495705551 title "Cocktail Party Problem" @default.
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- W2495705551 doi "https://doi.org/10.4018/978-1-61520-919-4.ch003" @default.
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