摘要
人工智能可以通过智能化的算法和模型处理音频信号,从而实现音频的增强、识别及转换等功能.然而,人工智能在音频处理领域的应用也面临一些挑战.首先从自动语音识别、语音合成、音频去噪与增强、情感识别与音频分析4个方面分析人工智能在音频信号处理中的应用,其次从音频信号的复杂性和多变性、数据获取与标注问题、计算资源与效率问题以及隐私与安全问题4个方面分析人工智能在音频信号处理中面临的挑战,最后深入分析应对挑战的对策.
Abstract
Artificial intelligence can process audio signals through intelligent algorithms and models, thereby achieving functions such as audio enhancement, recognition, and conversion. However, the application of artificial intelligence in the field of audio processing also faces some challenges. Firstly, the application of artificial intelligence in audio signal processing is analyzed from four aspects: automatic speech recognition, speech synthesis, audio denoising and enhancement, emotion recognition and audio analysis. Secondly, the challenges faced by artificial intelligence in audio signal processing are analyzed from four aspects: complexity and variability of audio signals, data acquisition and annotation issues, computing resources and efficiency issues, and privacy and security issues. Finally, countermeasures to address these challenges are analyzed in depth.
基金项目
2023年山西省高等学校科技创新项目(2023L518)
山西省教育科学"十四五"规划2022年度规划课题(GH-220738)
NETL
NSTL
万方数据