{'fraction_non_alphanumeric': 0.020036429872495445, 'fraction_numerical': 0.0018214936247723133, 'mean_word_length': 5.470588235294118, '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}}
Analysis of LSF switched-predictive vector quantisers

Switched-predictive vector quantisation (SPVQ) has proven to be more efficient than conventional predictive vector quantisation (PVQ) to reduce the bit rate of LSF parameters in speech coding applications. We perform a comparison between different SPVQ schemes and we propose an extension of the SPVQ technique which outperforms previously reported PVQ and SPVQ systems. The proposed method consists of 4 vector quantisers (VQ) which are switched on the basis of the best performance criterion.