Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The use of a speech spectral envelope model defined in the log spectrum-type domain is a common approach to feature enhancement for noise robust speech recognition. Hover, from the noise reduction viewpoint, this approach ignores non-peak components of a spectrum and thus suffers from the poor SNR improvement during voiced periods.  proposes a speech enhancement method that exploits a log spectral envelope model and a harmonic structure. The key to the method is its use of a harmonic structure to define the prior distribution of a spectral mask, which is used for both accurate noise estimation and attenuation. In addition,  combine log mel-frequency feature enhancement with the above method to take advantage of low dimensionality. The whole proposed method outperforms a state-of-the-art speech enhancement method in four different noise environments.
['Takuya Yoshioka', 'Tomohiro Nakatani']
I am writing a research paper on a idea Speech enhancement based on log spectral envelope model and harmonicity-derived spectral mask, and its coupling with feature compensation
[{"from": "human", "value": "I am writing a research paper on a idea Speech enhancement based on log spectral envelope model and harmonicity-derived spectral mask, and its coupling with feature compensation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The use of a speech spectral envelope model defined in the log spectrum-type domain is a common approach to feature enhancement for noise robust speech recognition. Hover, from the noise reduction viewpoint, this approach ignores non-peak components of a spectrum and thus suffers from the poor SNR improvement during voiced periods.  proposes a speech enhancement method that exploits a log spectral envelope model and a harmonic structure. The key to the method is its use of a harmonic structure to define the prior distribution of a spectral mask, which is used for both accurate noise estimation and attenuation. In addition,  combine log mel-frequency feature enhancement with the above method to take advantage of low dimensionality. The whole proposed method outperforms a state-of-the-art speech enhancement method in four different noise environments."}]