The invention discloses an intelligent audio scene
adaptation method based on an MEMS
loudspeaker, and relates to the technical field of audio scene
adaptation. Audio is collected through a
microphone array, and features such as
frequency domain entropy are fused to construct vectors; a scene is identified by using BiLSTM and a self-
attention model, and rapid
adaptation is carried out in combination with transfer learning; optimizing
loudspeaker parameters based on a
coupling model and a
genetic algorithm, and compensating temperature influence; the equal-sound curve is dynamically adjusted according to the scene, the audio is enhanced, and cross-scene adaptation, parameter pre-adjustment and multi-
loudspeaker collaborative optimization are realized through the technologies of adversarial training,
model prediction control and the like. According to the invention, through multi-
modal feature fusion and
deep learning, the scene recognition accuracy is improved, the loudspeaker parameters are optimized by using the
coupling model, and
distortion and
power consumption are reduced; the audio enhancement parameters are dynamically adjusted, multi-scene adaptation is achieved, the tone quality and the user experience are improved, and the application
bottleneck of a traditional MEMS loudspeaker is solved.