Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter,  describe a method to estimate the time delay for speaker localization in reverberant environments. Based on an adaptive eigenvalue decomposition (AED) algorithm, the method takes the reverberation fully into account by estimating channel impulse responses from a speaker to sensors directly, but it may suffer from whitening effects for temporally correlated natural sounds. Imposing sparse priors on the responses can reduce the temporal whitening and provide a more accurate and robust time delay of speaker location. Experiments demonstrate that the proposed method can efficiently estimate the time delay for speaker localization in reverberant environments.
['Ji-Won Cho', 'Hyung-Min Park']
I am writing a research paper on a idea Imposition of Sparse Priors in Adaptive Time Delay Estimation for Speaker Localization in Reverberant Environments
[{"from": "human", "value": "I am writing a research paper on a idea Imposition of Sparse Priors in Adaptive Time Delay Estimation for Speaker Localization in Reverberant Environments"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter,  describe a method to estimate the time delay for speaker localization in reverberant environments. Based on an adaptive eigenvalue decomposition (AED) algorithm, the method takes the reverberation fully into account by estimating channel impulse responses from a speaker to sensors directly, but it may suffer from whitening effects for temporally correlated natural sounds. Imposing sparse priors on the responses can reduce the temporal whitening and provide a more accurate and robust time delay of speaker location. Experiments demonstrate that the proposed method can efficiently estimate the time delay for speaker localization in reverberant environments."}]