BP Neural Network Noiceprint Recognition is Affected by Nasal Congestion

摘要

Voice is an inherent characteristic of humans, and the cost of acquiring equipment is low, and it is not restricted by location. Therefore, the speaker recognition technology that uses voice to identify the speaker has many unique advantages and is even irreplaceable in many scenarios. However, the development of speaker recognition technology still faces many difficulties and challenges. Affected by the vocal organs, when the nasal cavity is blocked, nasal congestion with distorted voiceprints will be emitted, which will affect the recognition rate of the speaker recognition system. Therefore, this article will study the difference between nasal congestion and normal sounds, and analyze the influence of nasal congestion on voiceprint recognition of an integrated and optimized BP neural network.