Research on the Impact of ASR Technology on Intelligent Interconnection based on Embedded Experiments
With the rapid development of artificial intelligence technology, automatic speech recognition (ASR) technology has become an important breakthrough in the field of human-computer interaction. ASR technology can convert human speech into text, thereby revolutionizing the way human-computer interaction occurs and significantly improving the efficiency of information processing. Therefore, it is of great research significance to observe the impact of ASR technology on social interaction and public discourse space from the perspective of embedded experiments. This article comprehensively ASR technology, covering its working principle, development history, technical methods and application scope. The basic principles, application scope, and related technologies of embedded experiments are introduced, and the direction of future development is prospected. In addition, this article explores the specific application of embedded experiments in ASR technology, analyzes in detail how ASR technology is combined with embedded experiments through steps such as preprocessing, feature extraction, and identification, and gives three specific cases to illustrate its use. Practical application effect. The research significance of this article is to reveal the important role of ASR technology in various fields, and how embedded experiments can further promote the optimization and progress of ASR technology.
Authors
- Xinwei Liu (ORCID: https://orcid.org/0000-0002-9829-3395)
Institutions
- Shenyang Ligong University (CN)
Publication Details
- Journal
- Applied and Computational Engineering
- Published
- 2025-01-10
- DOI
- https://doi.org/10.54254/2755-2721/2025.20233
- Primary Topic
- Advanced Computing and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00