10 citations · 23 across the 4 of their papers we have counts for
4 papers
Adaptive Frequency Cepstral Coefficients for Word Mispronunciation Detection
Zhenhao Ge, Sudhendu R. Sharma, Mark J. T. Smith
Systems based on automatic speech recognition (ASR) technology can provide important functionality in computer assisted language learning applications. This is a young but growing…
PCA Method for Automated Detection of Mispronounced Words
Zhenhao Ge, Sudhendu R. Sharma, Mark J. T. Smith
This paper presents a method for detecting mispronunciations with the aim of improving Computer Assisted Language Learning (CALL) tools used by foreign language learners. The algor…
PCA/LDA Approach for Text-Independent Speaker Recognition
Zhenhao Ge, Sudhendu R. Sharma, Mark J. T. Smith
Various algorithms for text-independent speaker recognition have been developed through the decades, aiming to improve both accuracy and efficiency. This paper presents a novel PCA…
Authorship Attribution Using a Neural Network Language Model
Zhenhao Ge, Yufang Sun, Mark J. T. Smith
In practice, training language models for individual authors is often expensive because of limited data resources. In such cases, Neural Network Language Models (NNLMs), generally…