Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an online real-time method that enhances human voices included in severely noisy audio signals captured by microphones of a hose-shaped rescue robot. To help a remote operator of such a robot pick up a ak voice of a human buried under rubble, it is crucial to suppress the loud ego-noise caused by the movements of the robot in real time.  tackle this task by using online robust principal component analysis (ORPCA) for decomposing the spectrogram of an observed noisy signal into the sum of low-rank and sparse spectrograms that are expected to correspond to periodic ego-noise and human voices. Using a microphone array distributed on the long body of a hose-shaped robot, ego-noise suppression can be further improved by combining the results of ORPCA applied to the observed signal captured by each microphone. Experiments using a 3-m hose-shaped rescue robot with eight microphones show that the proposed method improves the performance of conventional ego-noise suppression using only one microphone by 7.4 dB in SDR and 17.2 in SIR.
['Yoshiaki Bando', 'Katsutoshi Itoyama', 'Masashi Konyo', 'Satoshi Tadokoro', 'Kazuhiro Nakadai', 'Kazuyoshi Yoshii', 'Hiroshi G. Okuno']
I am writing a research paper on a idea Human-voice enhancement based on online RPCA for a hose-shaped rescue robot with a microphone array
[{"from": "human", "value": "I am writing a research paper on a idea Human-voice enhancement based on online RPCA for a hose-shaped rescue robot with a microphone array"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an online real-time method that enhances human voices included in severely noisy audio signals captured by microphones of a hose-shaped rescue robot. To help a remote operator of such a robot pick up a ak voice of a human buried under rubble, it is crucial to suppress the loud ego-noise caused by the movements of the robot in real time.  tackle this task by using online robust principal component analysis (ORPCA) for decomposing the spectrogram of an observed noisy signal into the sum of low-rank and sparse spectrograms that are expected to correspond to periodic ego-noise and human voices. Using a microphone array distributed on the long body of a hose-shaped robot, ego-noise suppression can be further improved by combining the results of ORPCA applied to the observed signal captured by each microphone. Experiments using a 3-m hose-shaped rescue robot with eight microphones show that the proposed method improves the performance of conventional ego-noise suppression using only one microphone by 7.4 dB in SDR and 17.2 in SIR."}]