AUTOMATIC PRONUNCIATION MISTAKE DETECTOR PROJECT REPORT
원문 초록
Given the drawbacks of traditional English pronunciation correction systems, such as failure to provide timely feedback and correct learners' pronunciation errors, slow improvement of learners' English proficiency, and even misleading learners, it is critical to developing a scientific and efficient automatic correction system for English pronunciation errors. Our Automatic Pronunciation Mistake Detection project is an efficient automatic correction system for English pronunciation errors. It is designed to enable students/user to improve their pronunciation skills. By using Speech recognition, pyaudio and pyttsx3, the project aims to efficiently diminish the error rate and enhance the accuracy of error detection.
함께 살펴볼 논문
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Improving Child Speech Recognition and Reading Mistake Detection by Using Prompts
First Steps Towards Voice Anonymization for Code-Switching Speech
MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement
Splitformer: An improved early-exit architecture for automatic speech recognition on edge devices
Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia
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