Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Real time magnetic resonance imaging (rtMRI) enables direct video capture of the moving vocal tract concurrent with audio signal providing valuable data for speech research.  consider a multimodal approach to voice activity detection (VAD) in the rtMRI recording that uses audio signal as ll as MRI image sequence. The degraded quality of the audio recorded in the scanner motivates this multimodal scheme for robust VAD. Optimal regions in the MRI image are selected for performing VAD with a novel algorithm. VAD experiments using rtMRI data of two male and two female subjects show that VAD performance using optimally selected regions from MRI images is comparable to that using only audio signal. The optimal regions turn out to be parts of jaw, velum, glottis and lips. VAD performance using audio signal and MRI image sequence together is found to be significantly better (∼14% absolute improvement in VAD accuracy) than that using the audio only when the audio is contaminated with additive noise at low SNR. Index Terms: voice activity detection, vocal tract imaging, optimal region selection.
['Abhay Prasad', 'Prasanta Kumar Ghosh', 'Shrikanth Narayanan']
I am writing a research paper on a idea Selection of optimal vocal tract regions using real-time magnetic resonance imaging for robust voice activity detection
[{"from": "human", "value": "I am writing a research paper on a idea Selection of optimal vocal tract regions using real-time magnetic resonance imaging for robust voice activity detection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Real time magnetic resonance imaging (rtMRI) enables direct video capture of the moving vocal tract concurrent with audio signal providing valuable data for speech research.  consider a multimodal approach to voice activity detection (VAD) in the rtMRI recording that uses audio signal as ll as MRI image sequence. The degraded quality of the audio recorded in the scanner motivates this multimodal scheme for robust VAD. Optimal regions in the MRI image are selected for performing VAD with a novel algorithm. VAD experiments using rtMRI data of two male and two female subjects show that VAD performance using optimally selected regions from MRI images is comparable to that using only audio signal. The optimal regions turn out to be parts of jaw, velum, glottis and lips. VAD performance using audio signal and MRI image sequence together is found to be significantly better (\u223c14% absolute improvement in VAD accuracy) than that using the audio only when the audio is contaminated with additive noise at low SNR. Index Terms: voice activity detection, vocal tract imaging, optimal region selection."}]