A Music Synthesizing Method for Tinnitus Sound Therapy Based on LSTM and Transformer

Author:

Fang Ancheng1,He Peiyu1,Pan Fan1,Yang Linkun1,Deng Mingyue1,Yu Weichuang1

Affiliation:

1. Sichuan University,College of Electronics and Information Engineering,Chengdu,China

Funder

Chengdu Science and Technology Bureau

Publisher

IEEE

Reference23 articles.

1. A personalized natural tone synthesis method for tinnitus rehabilitation based on iterative function system;li;[J] Journal of Biomedical Engineering,2018

2. A new digital synthesis method of soothing tinnitus and rehabilitation tone with personalized frequency band;leiyu;Journal of Chengdu University of Information Technology,2021

3. Investigation on chronic tinnitus efficacy of combination of non-repetitive preferred music and educational counseling: a preliminary study;jiemei;[J] Eur Arch Otorhinolaryngol,2020

4. A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music;roberts;[C] Proceedings of the 35th International Conference on Machine Learning,2018

5. Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs;hsiao,2021

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1. Melody Extraction from MIDI Files Using AI-ML Techniques;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

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