Analysis of Rehabilitation Occupational Therapy Techniques Based on Instrumental Music Chinese Tonal Language Spectrogram Analysis

• Published in: Occupational therapy international Vol. 2022; pp. 1 - 12
• Main Author: Liao, Ying
• Format: Journal Article
• Language: English
• Published: London Hindawi 03.10.2022; John Wiley & Sons, Inc; Wiley
• Subjects: Ability; Acoustics; Analysis; Annotations; Articulation; Artificial intelligence; Chinese languages; Classification; Communication; Communication skills; Emotions; Humans; Instrumental music; Mental health; Methods; Multimedia; Music; Music therapy; Musical instruments; Occupational therapy; R&D; Radiation; Rehabilitation; Research & development; Signal processing; Sound; Speech; Speech recognition; Speech therapy; Voice recognition
• ISSN: 0966-7903; 1557-0703; 1557-0703
• DOI: 10.1155/2022/1064441

This paper provides an in-depth analysis of timbre-speech spectrograms in instrumental music, designs a model analysis of rehabilitation occupational therapy techniques based on the analysis of timbre-speech spectrograms in instrumental music, and tests the models for comparison. Starting from the mechanism of human articulation, this paper models the process of human expression as a time-varying linear system consisting of excitation, vocal tract, and radiation models. The system’s overall architecture is designed according to the characteristics of Chinese speech and everyday speech rehabilitation theory (HSL theory). The dual judgment of temporal threshold and short-time average energy realized the phonetic length training. Tone and clear tone training were achieved by linear predictive coding technique (LPC) and autocorrelation function. Using the DTW technique, isolated word speech recognition was achieved by extracting Mel-scale Frequency Cepstral Coefficients (MFCC) parameters of speech signals. The system designs corresponding training scenes for each training module according to the extracted speech parameters, combines the multimedia speech spectrogram motion situation with the speech parameters, and finally presents the training content as a speech spectrogram, and evaluates the training results through human-machine interaction to stimulate the interest of rehabilitation therapy and realize the speech rehabilitation training of patients. After analyzing the pre- and post-test data, it was found that the p-values of all three groups were <0.05, which was judged to be significantly different. Also, all subjects changed their behavioral data during the treatment. Therefore, it was concluded that the music therapy technique could improve the patients’ active gaze communication ability, verbal command ability, and active question-answering ability after summarizing the data, i.e., the hypothesis of this experiment is valid. Therefore, it is believed that the technique of timbre-speech spectrogram analysis in instrumental music can achieve the effect of rehabilitation therapy to a certain extent.