Research and Application of Speech Transmission Index in Acoustic Leakage Detection
Acoustic information in confidential premise can be leaked through channels such as walls, pipes, doors and windows. Acoustic leakage level needs to be measured through specific indicators. Acoustic leakage evaluation indicator includes subjective evaluation indicator and objective evaluation indicator. The subjective evaluation indicator is a qualitative evaluation of acoustic leakage through subjective auditory perception of human ear, which can directly reflect the degree of acoustic leakage in confidential premise. At present, the objective evaluation indicator is mainly sound transmission loss (STL) to reflect objective degree of acoustic leakage in confidential premise. Therefore, it is relatively singular. Through study of Speech Transmission Index (STI), speech transmission index for public address systems (STIPA), which is a simplified form of FULL STI, is applied to acoustic leakage detection in this paper. STI has been proposed as an objective evaluation indicator and applied to acoustic leakage detection and acoustic information security. In order to confirm the effectiveness of objective evaluation indicator, a large number of related experimental studies have been conducted in the paper. Through experiments, it has been proven that STI can objectively evaluate level of acoustic leakage and level of acoustic information security in confidential premise. STI can better predict level of Chinese clarity under various complex transmission conditions. It provides a reliable basis for speech privacy of confidential premise and evaluation of architectural acoustic, sound reinforcement system and voice communication system.
Authors
- Wei Zhao (ORCID: https://orcid.org/0000-0002-6060-1022)
- Peng Zhang (ORCID: https://orcid.org/0000-0002-4851-2094)
- Xiaofeng Ma (ORCID: https://orcid.org/0000-0002-3967-5975)
- Jianqiang Zhang (ORCID: https://orcid.org/0009-0007-9604-7928)
- Fuqiang Wang (ORCID: https://orcid.org/0000-0002-5500-9649)
- Qiuyun Hao
Institutions
- Qilu University of Technology (CN)
- Shandong Academy of Sciences (CN)
Publication Details
- Published
- 2024-10-26
- DOI
- https://doi.org/10.1109/cisp-bmei64163.2024.10906282
- Primary Topic
- Fire Detection and Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China