Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Underdetermined speech separation is a challenging problem that has been studied extensively in recent years. A promising method to this problem is based on the so-called sparse signal representation. Using this technique,  have recently developed a multi-stage algorithm, where the source signals are recovered using a pre-defined dictionary obtained by e.g. the discrete cosine transform (DCT). , instead of using the pre-defined dictionary,  present three methods for learning adaptive dictionaries for the reconstruction of source signals, and compare their performance with several state-of-the-art speech separation methods.
['Tao Xu', 'Wenwu Wang']
I am writing a research paper on a idea Methods for learning adaptive dictionary in underdetermined speech separation
[{"from": "human", "value": "I am writing a research paper on a idea Methods for learning adaptive dictionary in underdetermined speech separation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Underdetermined speech separation is a challenging problem that has been studied extensively in recent years. A promising method to this problem is based on the so-called sparse signal representation. Using this technique,  have recently developed a multi-stage algorithm, where the source signals are recovered using a pre-defined dictionary obtained by e.g. the discrete cosine transform (DCT). , instead of using the pre-defined dictionary,  present three methods for learning adaptive dictionaries for the reconstruction of source signals, and compare their performance with several state-of-the-art speech separation methods."}]