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Improving Speech Recognition For Interviews With Both Clean And Telephone Speech, Sung Woo Choi
Improving Speech Recognition For Interviews With Both Clean And Telephone Speech, Sung Woo Choi
Journal of Undergraduate Research at Minnesota State University, Mankato
High quality automatic speech recognition (ASR) depends on the context of the speech. Cleanly recorded speech has better results than speech recorded over telephone lines. In telephone speech, the signal is band-pass filtered which limits frequencies available for computation. Consequently, the transmitted speech signal may be distorted by noise, causing higher word error rates (WER). The main goal of this research project is to examine approaches to improve recognition of telephone speech while maintaining or improving results for clean speech in mixed telephone-clean speech recordings, by reducing mismatches between the test data and the available models. The test data includes …