Intelligent Speech Recognition and Interaction Technologies for Japanese Services

This article investigates key issues in Japanese speech recognition and interaction technologies, aiming to advance the intelligent development of Japanese services. By deeply analyzing the particularity of Japanese speech recognition, this article designs an intelligent speech recognition model for Japanese characteristics and conducts a comprehensive experimental test. In terms of methods, a Japanese phonetic dataset covering various pronunciations, intonation, speech speed, and different speakers is prepared, which provides a solid foundation for model training. Then, an intelligent speech recognition algorithm, including feature extraction, acoustic model, and language model, is constructed, and the recognition performance and robustness are improved by adjusting the hyperparameter and optimizing the model structure. In the experiment, this article uses the evaluation indexes of recognition accuracy, WER (Word Error Rate), and SER (Sentence Error Rate) to evaluate the algorithm objectively. The results show that the proposed algorithm has achieved high recognition accuracy on the test set. It provides strong support for the intelligent application of Japanese services.