Szymon Zaporowski - Profil naukowy - MOST Wiedzy


Wybrane publikacje

  • Mispronunciation Detection in Non-Native (L2) English with Uncertainty Modeling

    - Rok 2021

    A common approach to the automatic detection of mispronunciation in language learning is to recognize the phonemes produced by a student and compare it to the expected pronunciation of a native speaker. This approach makes two simplifying assumptions: a) phonemes can be recognized from speech with high accuracy, b) there is a single correct way for a sentence to be pronounced. These assumptions do not always hold, which can result...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention

    - Rok 2021

    This paper describes two novel complementary techniques that improve the detection of lexical stress errors in non-native (L2) English speech: attention-based feature extraction and data augmentation based on Neural Text-To-Speech (TTS). In a classical approach, audio features are usually extracted from fixed regions of speech such as the syllable nucleus. We propose an attention-based deep learning model that automatically de...

    Pełny tekst do pobrania w portalu

  • Vocalic Segments Classification Assisted by Mouth Motion Capture

    Visual features convey important information for automatic speech recognition (ASR), especially in noisy environment. The purpose of this study is to evaluate to what extent visual data (i.e. lip reading) can enhance recognition accuracy in the multi-modal approach. For that purpose motion capture markers were placed on speakers' faces to obtain lips tracking data during speaking. Different parameterizations strategies were tested...

    Pełny tekst do pobrania w serwisie zewnętrznym

wyświetlono 742 razy