Modeling of Speech Recognition Based on Deep Learning

Abstract

As technology continues to advance, the application of speech recognition is becoming increasingly pervasive, and the significance of intelligent speech recognition cannot be overstated. This article delves into the intricate workings and classifications of speech recognition systems, meticulously outlining the process of designing the system's development environment and framework. It meticulously charts the course from the collection of speech datasets to the preprocessing of speech data, and then progresses to the crucial stages of feature extraction and the construction of both acoustic and language models tailored for deep learning-based Chinese speech recognition. This comprehensive study not only enables the system to record speech autonomously or upload pre-recorded speech to a server for Chinese recognition but also boasts the capability to translate the recognized Chinese speech into English. This functionality underscores the study's potential to pave the way for further in-depth exploration and advancements in the realm of speech recognition, establishing a solid foundation for future research endeavors.