Characteristics of cochlear implant speech processing strategies based on signal energy selection(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2023年第6期
- Page:
- 736-741
- Research Field:
- 医学信号处理与医学仪器
- Publishing date:
Info
- Title:
- Characteristics of cochlear implant speech processing strategies based on signal energy selection
- Author(s):
- CHEN Yousheng; CAO Xuemei; WANG Geng
- School of Information and Communication, Shenzhen Institute of Information Technology, Shenzhen 518000, China
- Keywords:
- Keywords: cochlear implant frequency band selection signal energy speech processing strategy
- PACS:
- R318；TH776
- DOI:
- DOI:10.3969/j.issn.1005-202X.2023.06.011
- Abstract:
- Abstract: The study explores the algorithm architecture of cochlear implant speech processing strategies based on signal energy selection, analyzes the signal processing process, and compares several features such as waveform, signal intensity and speech spectrum for discussing the role of the strategy in speech signal processing. In addition, an in-depth statistical analysis is carried out on the maximum number of subbands selected in each frame of the signal sequence and the probability of each subband selected using the artificial cochlear filter bank. Its found that the speech processing strategies based on signal energy selection have the characteristics of high probability in low-frequency channels and low probability in high-frequency channels. The analysis on the matching of algorithms in signal feature parameter transmission and key features in frequency band selection provides a basis for putting forward and improving new speech processing strategies for cochlear implants.
Last Update: 2023-06-28