Integrating biologically-inspired auditory models into deep learning

该项目旨在探索如何将受生物学启发的听觉模型紧密集成到最先进的深度学习语音处理框架中，以建模、设计和验证基于深度学习的听觉模型。从人工耳蜗到智能家居，基于语音的技术正在快速发展，语音接口正与我们生活的方方面面融为一体。然而，越来越多的人要求改进这些语音服务，使它们更安全，更不易受到未经授权用户的网络犯罪攻击。该项目有望改进语音和音频信号的建模和自动处理技术，这将带来显著的好处，包括改进语音生物识别技术和人工耳蜗植入。

This project aims to discover how a biologically inspired auditory model can be tightly integrated into a state-of-the-art deep learning speech processing framework, to model, design and verify a deep learning based auditory model. Voice-based technologies, ranging from cochlear implants to smart homes, are growing at a rapid pace and speech interfaces are being integrated with all aspects of our lives. However, there is a growing demand to improve these voice-enabled services, making them more secure and less open to cyber-crime attack by unauthorised users. The project is expected to improve techniques for modelling and automatic processing of speech and audio signals, which should provide significant benefits, including improved voice biometrics and cochlear implants.