This invention discloses a method and
system for intelligent mixing with human voice spectrum protection, belonging to the field of
digital audio signal processing technology. The method extracts speech semantic weights using a lightweight NLP model, combines
speech rate, pause duration, continuous listening duration, and
environmental noise parameters, and calculates a real-time listening status
score using a nonlinear mapping function. Based on the
score, it adaptively adjusts the background binaural beat
audio signal parameters, locking the 250Hz-4kHz core human
voice frequency band.
Gain boosting, notch filtering, and dynamic compensation are used to achieve human voice spectrum isolation protection, completing the intelligent mixing output. The
system includes modules for speech
parsing, status acquisition, nonlinear comprehensive evaluation,
adaptive control, intelligent mixing engine, audio playback, and
environmental noise acquisition. It is compatible with multiple terminals such as learning apps, online classes, smart
headphones, and hearing aids. This invention effectively solves the problem of human voice spectrum masking, improves voice
clarity and auditory experience, adjusts only the
audio signal frequency, avoids
patent infringement risks, and offers a complete and practical technical solution suitable for various intelligent
audio mixing scenarios.