{'fraction_non_alphanumeric': 0.01609657947686117, 'fraction_numerical': 0.002012072434607646, 'mean_word_length': 6.014084507042254, '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}}
A study on emotional feature extraction and analysis in speech

Analyses the features of the time, amplitude, fundamental frequency and formant constructions involving 5 emotions as happiness, anger, surprise, sorrow and neutrality. Through speech parameters extracted from emotional database of German, this paper sums up the distribution laws of emotional features of different emotional speech signal and presents practically theoretical data for processing and recognition of emotional speech.