Evaluation on English Translator Speech Recognition System Based on Artificial Intelligence Algorithms

In recent years, with the rapid development of artificial intelligence technology, intelligent speech recognition has also received widespread attention. However, currently there is still a problem of low speech recognition accuracy in English translators. In order to solve this problem, this article has optimized the intelligent speech recognition system from the following aspects: one is the optimization of speech signal processing; the second is the optimization of speech signal feature extraction; the third is the optimization of speech recognition accuracy. Finally, a translator speech recognition method was designed to implement the construction of an English translator speech recognition system. The system performance test results show that the speech recognition method of uploading audio has a good recognition effect, with an accuracy rate of 96.7%. Therefore, the English translator speech intelligent recognition system designed in this article has achieved good functional testing results and meets practical needs. From the results, the voice recognition method of uploading audio is better than the direct speaking method. This may be because the audio is uploaded in a way that avoids the impact of ambient noise on speech recognition. In the functional test of speech synthesis, the system can quickly generate accurate speech and obtain good results. This shows that the English translation speech recognition system based on artificial intelligence algorithm performs well in speech generation.