2017/03/01 by Veton Këpuska · 1 voice
Computer Science · #Speech Recognition and Synthesis #Speech and Audio Processing #Advanced Data Compression Techniques
paper · pdf · doi:10.9790/9622-0703022024
openalex publication_date 2017/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2025/11/06
The idea of this paper is to design a tool that will be used to test and compare commercial speech recognition systems, such as Microsoft Speech API and Google Speech API, with open-source speech recognition systems such as Sphinx-4. The best way to compare automatic speech recognition systems in different environments is by using some audio recordings that were selected from different sources and calculating the word error rate (WER). Although the WER of the three aforementioned systems were acceptable, it was observed that the Google API is superior.