AUTOMATIC PRONUNCIATION MISTAKE DETECTOR PROJECT REPORT
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.
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Tasks
Mistake Detectionspeech-recognitionSpeech RecognitionSimilar Papers 제목 키워드 기반
Automatic Pronunciation Generation by Utilizing a Semi-supervised Deep Neural Networks
Phonemic or phonetic sub-word units are the most commonly used atomic elements to represent speech signals in modern ASRs. However they are not the optimal choice due to several reasons such as: large amount of effort re…
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We introduce the task of early mistake detection in video, where the goal is to determine whether a keystep in a procedural activity is performed correctly while observing as little of the streaming video as possible. To…
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Recent automatic lyrics transcription (ALT) approaches focus on building stronger acoustic models or in-domain language models, while the pronunciation aspect is seldom touched upon. This paper applies a novel computatio…
Automatic Lyrics TranscriptionSentenceStatistical Evaluation of Pronunciation Encoding
In this study we investigate the idea to automatically evaluate newly created pronunciation encodings for being correct or containing a potential error. Using a cascaded triphone detector and phonotactical n-gram modelin…
Speech RecognitionSpeech SynthesisAutomatically Detecting Reduced-formed English Pronunciations by Using Deep Learning
Reduced form pronunciations are widely used by native English speakers, especially in casual conversations. Second language (L2) learners have difficulty in processing reduced form pronunciations in listening comprehensi…
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