{'fraction_non_alphanumeric': 0.017040358744394617, 'fraction_numerical': 0.0008968609865470852, 'mean_word_length': 4.967914438502674, '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}}
Music Detecting and Recording System Based on Support Vector Machine

To help people complete their music composing, and simplifying composing procedures and recording associate information quickly, a music detecting and recording system based on support vector machine (SVM) is proposed in this paper through the research about pattern recognition applied in music tune detection. The main processes of the music recording system is that the system will detect tune by Sound Sensor and change it into digital signals, then analysis and divide the signal into 7 parts by SVM algorithm and record it in files, it also show the pitch for each note on LCD display at the same time. At the end of tune, the result will be outputted as a simple numbered musical notation in file. Compared with the traditional music recognition system, the results show that SVM has good robustness to noise data, can effectively identify all kinds of music, and the recognition speed of music is better. In the practical application, our system can realize continuous data detection. In addition, it has strong anti-jamming performance.