Integrating biologically-inspired auditory models into deep learning

将受生物学启发的听觉模型整合到深度学习中

• 批准号: DP190102479
• 负责人: Prof Eliathamby Ambikairajah
• 金额: $ 27.04万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-04-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190102479
• 关键词: Integrating; biologically; inspired; auditory; models

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.

该项目旨在发现如何将生物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，语音界面正在与我们生活的各个方面相结合。然而，人们越来越需要改进这些支持语音的服务，使其更加安全，更少受到未经授权用户的网络犯罪攻击。预计该项目将改进语音和音频信号的建模和自动处理技术，这将带来重大惠益，包括改进语音生物测定和人工耳蜗植入。