Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A speech enhancement scheme including blind source separation and background denoising based on minimum statistics is studied in mobile environments. To accommodate the dependence of the separated output signals on the spatial properties of the recorded source signals, these blind signal processing steps are complemented by an adaptive separated output channel selection stage using prior knowledge about the desired speaker speech content. The resulting scheme performance is illustrated by speech recognition experiments on real recordings corrupted by various noise sources and shown to outperform conventional beamforming and single channel denoising techniques as ll as an equivalent scheme with fixed output channel selection.
['Erik Visser', 'Te-Won Lee']
I am writing a research paper on a idea Blind source separation in mobile environments using a priori knowledge
[{"from": "human", "value": "I am writing a research paper on a idea Blind source separation in mobile environments using a priori knowledge"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A speech enhancement scheme including blind source separation and background denoising based on minimum statistics is studied in mobile environments. To accommodate the dependence of the separated output signals on the spatial properties of the recorded source signals, these blind signal processing steps are complemented by an adaptive separated output channel selection stage using prior knowledge about the desired speaker speech content. The resulting scheme performance is illustrated by speech recognition experiments on real recordings corrupted by various noise sources and shown to outperform conventional beamforming and single channel denoising techniques as ll as an equivalent scheme with fixed output channel selection."}]