Sound enhancement method and sound enhancement system

Abstract

The invention discloses a sound enhancement method and a sound enhancement system. The method comprises the following steps: obtaining a sound signal, and converting the sound signal into a digital signal; decomposing the digital signal to obtain a plurality of intrinsic mode functions or a plurality of similar intrinsic mode functions; selectively amplifying the amplitudes of the plurality of obtained intrinsic mode functions or the plurality of similar intrinsic mode functions; integrating the selectively amplified intrinsic mode functions or similar intrinsic mode functions to obtain an integrated reconstruction signal; and converting the integrated reconstructed signal into an analog signal. Based on Hilbert-Huang transform, sound can be effectively and selectively enhanced, only high-frequency consonants in the sound are amplified instead of amplifying vowels, the method can effectively improve the sharpness of the amplified sound, and the problem that only the loudness of the sound is increased but the sharpness is not increased in an existing sound enhancement method is solved.

Description

technical field [0001] The invention relates to the field of voice enhancement, in particular to a voice enhancement method and a voice enhancement system. Background technique [0002] 1. The formation mechanism of hearing [0003] Acoustic signals are perceived as sound when pressure waves associated with them propagate through the external auditory canal and strike the eardrum. This vibration is amplified by about 22 times through the auditory ossicles (including the malleus, incus and stapes), and reaches the oval window at the bottom of the cochlea. Vibration of the oval window membrane will generate pressure waves in the vestibule, which cause the soft basement membrane to vibrate and deform with the spirals and hair cells, and then touch the covering membrane of the curved hair cells. More importantly, such waves in the basilar membrane will have a maximum amplitude commensurate with the characteristic frequency produced by this vibration. Hair cells that bend at t...

AI Technical Summary

Problems solved by technology

[0004] 2. Hearing impairment

Even with hearing aids, there is still the problem that the sound will become very loud, but the content of the sound cannot be heard clearly

However, such hearing aids cannot perform the hearing aid function well, because even after using such hearing aids, there is still the problem that the sound becomes loud but lacks clarity

Statistics show that among the 25% of hearing-impaired people who can obtain hearing aids, 60% of them will not continue to use them even if they are equipped with hearing aids.

[0007] 3. Flaws in current hearing aid design

[0012] (1). Fourier analysis is based on integral transformation, which requires a limited window and is limited by the uncertainty principle

[0013] (2). Fourier spectra cannot detect modulation: they cannot account for periodicity, which is an important property of sound perception that explains enveloped sounds

[0014] (3). Fourier cannot represent the sound of "chi" from percussion instruments, because this sound is non-stationary

[0015] (4). The operation mechanism of the cochlea is driven by fluid dynamics, so it is impossible to generate peaks at all harmonic positions to meet the performance requirements of sound quality

[0017] (6). The existence of alternative data (Fourier spectrum with arbitrary phase) makes the representation of Fourier spectrum not unique

When the current speech analysis method is used to enhance the sound, it often only amplifies the harmonic part of the vowel, but does not amplify the consonant, resulting in a loud but unclear sound

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