{'fraction_non_alphanumeric': 0.0282574568288854, 'fraction_numerical': 0.01098901098901099, 'mean_word_length': 5.444444444444445, '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}}
Automatic Bass Line Transcription from Polyphonic Music

This paper examines the transcription of just a single instrument from a rich, polyphonic audio stream. The ‘bass line’ in jazz and rock recordings was chosen for this as a reasonably separable instrument, given several assumptions. An algorithm is presented which performs the following, sequential steps: note onset location; note hypothesis generation; a hypothesis tracker; and finally a hypothesis resolver. Results are presented for examples taken from commercially available CDs which achieve a note recognition rate of 78.7%, using the metric of Kashino and Murase (1998).