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Abstract:
Existing speech enhancement methods can improve speech quality but not speech intelligibility, especially in low SNR conditions. To solve this problem, an algorithm for improving speech intelligibility using the Constraints on Speech Distortion and Noise Over-estimation (CSDNO) is proposed in this paper. Based on the fact that the attenuation distortion and amplification distortion have different impacts on the speech intelligibility, the gain function and noise estimation method used in conventional algorithm are modified in this paper. The performance of the proposed method has been evaluated by Diagnosis Rhyme Test (DRT), fractional Articulation Index (fAI) and frequency-weighted SNR segmental (fwSNRseg) for three types of noises. The experimental results show that, with smaller speech distortion, the proposed method can improve the intelligibility of the enhanced speech in comparison with the reference method.
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2013 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2013)
Year: 2013
Page: 602-606
Language: English
Cited Count:
WoS CC Cited Count: 1
SCOPUS Cited Count: 1
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 9
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