Acoustic compensation methods for body transmitted speech conversion

Daisuke Miyamoto, Keigo Nakamura, Tomoki Toda, Hiroshi Saruwatari, Kiyohiro Shikano
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
Statistical voice conversion is very effective for enhancing body transmitted speech recorded with Non-Audible Murmur (NAM) microphone. In this method, a probabilistic model to convert body transmitted speech into natural speech is trained previously. Because acoustic characteristics of body transmitted speech is sensitive to recording conditions such as a location of NAM microphone, significant degradation of the conversion performance is often caused in practical situations by acoustic
more » ... by acoustic mismatches between training and conversion processes. To alleviate this problem, we propose unsupervised acoustic compensation methods for body transmitted voice conversion. Experimental results demonstrate that the proposed methods significantly reduce the quality degradation of converted speech caused by the acoustic mismatches.
doi:10.1109/icassp.2009.4960480 dblp:conf/icassp/MiyamotoNTSS09 fatcat:67x7c2zpszhjdlk5jxcqtinyry