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Approach for solving Cocktail Party Problem | Advantages of the method | Disadvantages of the method |
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Temporal binding | As shown in [44], this strategy helps | As stated in [45], this strategy results |
✓ robustness against loss of network elements | ✘ inflexible refocusing of system onto events rapidly occurring in sequence |
✓ richness of representation | |
✓ processing speed enhancement | |
|
Cortronic network | As mentioned in [36], in this method | As shown in [36], this technique is |
✓ there is no requirement for having knowledge of background sounds such as static, traffic, and music | ✘ costly to implement as it requires a separate artificial neural network |
|
Blind source separation | As shown in [46], in this technique | As reported in [47], in this method |
✓ there is no need for having knowledge of source signals or the process of mixing | ✘ convergence speed is slow |
✓ no need for defining a cut-off frequency for separation | |
✓ low computational complexity | |
✓ helps signal enhancement | |
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