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Blind speech extraction for Non-Audible Murmur speech with speaker's movement noise
2012
2012 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
In this paper, we address an improved method of noise reduction used in multichannel Non-Audible Murmur (NAM) based on blind source separation. Recently, speech processing with NAM has been proposed for applying versatile speech interface into quiet environments where we hesitate to utter. NAM is a very soft whispered voice signal detected with the NAM microphone, which is one of the body-conductive microphone. The detected NAM signal always suffers from nonstationary noise caused by speaker's
doi:10.1109/isspit.2012.6621308
dblp:conf/isspit/ItoiMTSS12
fatcat:7pkkm6vax5cgtpw3hcvpw4uggm