{'fraction_non_alphanumeric': 0.009719222462203024, 'fraction_numerical': 0.0, 'mean_word_length': 5.717391304347826, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Speech enhancement and recognition by integrating adaptive beamforming and wiener filtering

A robust adaptive beamforming method is presented in this paper for speech enhancement and speech recognition with microphone arrays. The proposal is based on a modification of the Generalized Sidelobe Canceller with adaptive blocking matrix and the use of a Wiener filter. Alternatively to most of the previous reported works based on microphone arrays with postfiltering, the new technique integrates the Wiener filter in the structure of the adaptive beamformer in a single stage. Experimental results show that the proposed integrated adaptive Wiener-filtering (IAW) beamformer usually is more robust to directional and ambient noises than conventional postfiltering of the beamformer output with a lower level of degradation. Speech recognition experiments which show improvements with the proposed beamformer are also reported.