一种基于迭代函数系统的个性化耳鸣康复自然音合成方法

A new method of synthesizing personalized tinnitus rehabilitation sound based on iterative function system algorithm

耳鸣是一种常见的临床症状。研究表明,分形音可有效治疗耳鸣,但目前的分形音多基于固定的音符库结合分形算法映射而成,其频率单一,很难与患者进行个性化适配。临床研究证实,自然声为常用的耳鸣匹配声,对调节消极情绪、减轻耳鸣的烦扰程度有良好的效果。因此,本文提出了一种基于迭代函数系统(IFS)的个性化耳鸣康复自然音合成方法。该方法以个性化构造的自然音音频库为基础,通过IFS分形算法映射合成康复音。实验表明,此方法合成的康复音符合耳鸣治疗声基本要求,且可通过控制音频库的生成使康复声适配患者的耳鸣声,对耳鸣治疗具有一定的参考价值。

Tinnitus is a common clinical symptom. Researches have shown that fractal sound can effectively treat tinnitus. But current fractal sound is usually synthesized based on constant notes via fractal algorithm, which lead to monotony of synthesized fractal sound. So it is difficult to achieve personalized match. Clinical datas have confirmed that it is common to match tinnitus sound with nature sound and it has a good effect on regulating negative emotion and relieving tinnitus via some natural sound. Therefore, a new method of personalized synthesizing tinnitus rehabilitation sound based on iterative function system（IFS） fractal algorithm is proposed in this paper. This method firstly generates personalized audio library based on natural sound, then tinnitus rehabilitation sound is synthesized via IFS fractal algorithm. Simulation results show that rehabilitation sound in this paper can meet the basic requirements of tinnitus therapy sound and can match tinnitus sound by controlling personalized audio library. So it has reference significance to the treatment of tinnitus sound therapy.