First International Conference on Spoken Language Processing (ICSLP 90)

Kobe, Japan
November 18-22, 1990

Using High Level Knowledge Sources as a Means of Recovering DLL-Formed Japanese Sentences Distorted by Ambient Noise

K. H. Loken-Kim, Yasuhiro Nara, Shinta Kimura

Fujitsu Laboratories Ltd., Japan

In this paper, the authors present the performance of a large vocabulary Japanese spoken sentence recognition system tested under several noise levels (S/N (Signal to Noise Ratio): lOdB, 20dB, 25dB, 30dB, <*>), and discuss the ability of the system to recover input sentences. The result of the performance evaluation was that the system recovered over 90% of the test sentences when the noise level was low ( , 30dB), but recovered only 50% of the test sentences when the noise level reached to an S/N of 20dB.

Full Paper

Bibliographic reference.  Loken-Kim, K. H. / Nara, Yasuhiro / Kimura, Shinta (1990): "Using high level knowledge sources as a means of recovering DLL-formed Japanese sentences distorted by ambient noise", In ICSLP-1990, 1245-1248.