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This work employs state-of-the-art speech recognition and synthesis technologies for speech source coding and decoding. This approach decreases the coded speech data to a great extent, thus cuts down the bit-rate requirement greatly for underwater acoustic speech transmission. The experiments show that the reconstructed speech is clear, intelligible, and the codec performance is satisfactory. This work opens up a new road for underwater acoustic highly-intelligible speech transmission and has important application values.
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on (Volume:2 )
Date of Conference: 14-17 Dec. 2003