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This paper presents a new method for improving the recognition accuracy of a speech recognition system in a noisy environment by using robust speech enhancement technique with the aid of noise estimation algorithm. The robustness of a speech recognition system can be improved by improving the speech quality at signal level by means of noise suppression algorithms, feature extraction level or at modelling phase. The proposed method uses robust speech enhancement technique as a pre-processing operation to improve the recognition accuracy in presence of noise. The suggested method is evaluated in terms of recognition accuracy. The suggested method yields better results in terms of recognition accuracy in presence of eight different types of non-stationary noises under different SNR levels when compared with the baseline speech recognition system. [ABSTRACT FROM AUTHOR]

Aryl stannanes are easily accessible from o-silylated aryl triflates in the presence of KF and Bu3SnH. The corresponding arynes are formed in situ, and undergo clean hydrostannation to give a mixture of the regioisomeric aryl stannanes. The whole reaction sequence can also be carried out as a one-pot reaction under microwave irradiation. [ABSTRACT FROM AUTHOR]

Regioselective molybdenum-catalyzed hydrostannations of acetylenic ketones give rise to allenoxystannanes, which can be subjected to subsequent aldol reactions. Because aldehydes are not affected under the reaction conditions used, the hydrostannation-�aldol addition can be performed as a one-pot reaction, providing easy access to substituted Morita-Baylis-Hillman-type products in a highly stereoselective fashion. [ABSTRACT FROM AUTHOR]