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Microphone Arrays and Neural Networks for Robust Speech Recognition

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Academic year: 2020

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Figure 1: Speech wavefozms fzom the head-mounted micro- phone ( A and O), ~om the 1-D line array microphone (B), are simultaneously zecozded in a session and (C) and (D) in and from the desk-mounted microphone (D)
Table 1: Baseline evaluation of recognition performance (% correct), using the pretrained SPHINX speech recognizer
Table 3: Baseline evaluation of recognition performance using DTW classification algorithms
Figure 5: The feedforward net. The hidden units are non- linear (tanh).

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