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A generalized time–frequency subtraction method for robust speech enhancement based on wavelet filter banks modeling of human auditory system

หน่วยงาน Nanyang Technological University, Singapore

รายละเอียด

ชื่อเรื่อง : A generalized time–frequency subtraction method for robust speech enhancement based on wavelet filter banks modeling of human auditory system
นักวิจัย : Shao, Yu , Chang, Chip Hong
คำค้น : DRNTU::Engineering::Electrical and electronic engineering
หน่วยงาน : Nanyang Technological University, Singapore
ผู้ร่วมงาน : -
ปีพิมพ์ : 2550
อ้างอิง : Shao, Y., & Chang, C. H. (2007). A generalized time–frequency subtraction method for robust speech enhancement based on wavelet filter banks modeling of human auditory system. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 37(4), 877-889. , 1083-4419 , http://hdl.handle.net/10220/6027 , http://dx.doi.org/10.1109/TSMCB.2007.895365
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : IEEE transactions on systems, man, and cybernetics-part B : cybernetics
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

We present a new speech enhancement scheme for a single-microphone system to meet the demand for quality noise reduction algorithms capable of operating at a very low signal-tonoise ratio. A psychoacoustic model is incorporated into the generalized perceptual wavelet denoising method to reduce the residual noise and improve the intelligibility of speech. The proposed method is a generalized time–frequency subtraction algorithm, which advantageously exploits the wavelet multirate signal representation to preserve the critical transient information. Simultaneous masking and temporal masking of the human auditory system are modeled by the perceptual wavelet packet transform via the frequency and temporal localization of speech components. The wavelet coefficients are used to calculate the Bark spreading energy and temporal spreading energy, from which a time–frequency masking threshold is deduced to adaptively adjust the subtraction parameters of the proposed method. An unvoiced speech enhancement algorithm is also integrated into the system to improve the intelligibility of speech. Through rigorous objective and subjective evaluations, it is shown that the proposed speech enhancement system is capable of reducing noise with little speech degradation in adverse noise environments and the overall performance is superior to several competitive methods.

บรรณานุกรม :
Shao, Yu , Chang, Chip Hong . (2550). A generalized time–frequency subtraction method for robust speech enhancement based on wavelet filter banks modeling of human auditory system.
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Shao, Yu , Chang, Chip Hong . 2550. "A generalized time–frequency subtraction method for robust speech enhancement based on wavelet filter banks modeling of human auditory system".
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Shao, Yu , Chang, Chip Hong . "A generalized time–frequency subtraction method for robust speech enhancement based on wavelet filter banks modeling of human auditory system."
    กรุงเทพมหานคร : Nanyang Technological University, Singapore, 2550. Print.
Shao, Yu , Chang, Chip Hong . A generalized time–frequency subtraction method for robust speech enhancement based on wavelet filter banks modeling of human auditory system. กรุงเทพมหานคร : Nanyang Technological University, Singapore; 2550.