Title :
Subband modulator Kalman filtering for single channel speech enhancement
Author :
Ishaq, Rizwan ; Garcia Zapirain, Begona ; Shahid, Muhammad ; Lovstrom, Benny
Author_Institution :
Univ. of Deusto, Bilbao, Spain
Abstract :
This paper presents a single channel speech enhancement technique based on sub-band modulator Kalman filtering for laryngeal (normal) and a laryngeal (Esophageal speech) speech signals. The noisy speech signal is decomposed into sub-bands and subsequently each sub-band is demodulated into its modulator and carrier components. Kalman filter is applied to modulators of all sub-bands without altering the carriers. Performance of the proposed system has been validated by Mean Opinion Score (MOS) for laryngeal and Harmonic to Noise Ratio (HNR) for a laryngeal speech. An improvement of 20% has been observed in MOS over sub-band Kalman filtering for laryngeal speech, while 3 to 4 dB enhancement in HNR has been observed for a laryngeal speech over the full-band Kalman filtering.
Keywords :
Kalman filters; demodulation; modulation; speech enhancement; Esophageal speech signal; HNR; MOS; alaryngeal speech signal; demodulation; harmonic to noise ratio; laryngeal speech signal; mean opinion score; noise figure 3 dB to 4 dB; noisy speech signal decomposition; single channel speech enhancement; subband modulator Kalman filtering; Kalman filters; Modulation; Noise; Noise measurement; Speech; Speech enhancement; Autoregressive; Kalman filter; speech enhancement;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6639109