A method and device for processing human voice data

Abstract

The invention discloses a human voice data processing method and device, which relates to the technical field of audio frequency processing, and resolves the problem of the prior art that voice insufficiency cannot be dynamically adjusted or compensated. The method comprises the steps of obtaining the original data of human voice within the predetermined time; conducting bandpass filtering processing on the original data, and obtaining the sampling data within the predetermined frequency scope; calculating the average level value; calculating dynamic gain compensation value; calculating dynamic Q value; conducting compensation filtering processing on the sampling data based on the dynamic gain compensation value, the dynamic Q value, the dynamic compensation frequency, the human voice sampling rate and the parameter modification time, and obtaining the compensation data; obtaining the processed human voice data through calculating based on the original data, compensation data, originaldata scale factor and compensation data scale factor. The invention is suitable for the human voice processing process.

Description

technical field [0001] The invention relates to the technical field of audio processing, in particular to a method and device for processing human voice data. Background technique [0002] In KTV, evening parties or singing occasions on various stages, it is necessary to polish and beautify the singer's voice. In KTV, effects are mainly used to add a large amount of reverberation and echo to the human voice to increase the fullness and thickness of the singer's voice. Have a better singing experience. On the stage, the singer is more equipped with an on-site tuner to adjust the singer and the background music in real time, mainly the volume, a small amount of reverberation, etc. At the same time, the human voice needs to be adjusted manually in different parts of the song The parametric equalization of different frequency bands can compensate for the lack of singer's voice, so that the singer can better integrate with the background music when singing. [0003] But too mu...

AI Technical Summary

Problems solved by technology

[0003] But too much reverberation and echo will change the original timbre of the sound, and it will also make the sound blurred. The fixed equalization also makes the processing of different timbres too single during sound processing. After adding too much low-frequency equalization and lifting, the sound is too hard and lacks elasticity. For people with thin voices, some low-frequency lifting seems insufficient.

Similarly, for the voice processing of the singers on the stage, the tuner only tunes according to personal preference and experience, and the personal subjective component is relatively heavy, so there is no guarantee of better sound processing effect

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