29 citations · 91 across the 13 of their papers we have counts for
13 papers
Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding
Jian Zheng, Sudha Krishnamurthy, Ruxin Chen +3
Image captioning has attracted considerable attention in recent years. However, little work has been done for game image captioning which has some unique characteristics and requir…
Neural Network Based Speaker Classification and Verification Systems with Enhanced Features
Zhenhao Ge, Ananth N. Iyer, Srinath Cheluvaraja +2
This work presents a novel framework based on feed-forward neural network for text-independent speaker classification and verification, two related systems of speaker recognition.…
Speaker Change Detection Using Features through A Neural Network Speaker Classifier
Zhenhao Ge, Ananth N. Iyer, Srinath Cheluvaraja +1
The mechanism proposed here is for real-time speaker change detection in conversations, which firstly trains a neural network text-independent speaker classifier using in-domain sp…
Generation and Pruning of Pronunciation Variants to Improve ASR Accuracy
Zhenhao Ge, Aravind Ganapathiraju, Ananth N. Iyer +2
Speech recognition, especially name recognition, is widely used in phone services such as company directory dialers, stock quote providers or location finders. It is usually challe…
Accent Classification with Phonetic Vowel Representation
Zhenhao Ge, Yingyi Tan, Aravind Ganapathiraju
Previous accent classification research focused mainly on detecting accents with pure acoustic information without recognizing accented speech. This work combines phonetic knowledg…
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…
Occupancy Estimation in Smart Buildings using Audio-Processing Techniques
Qian Huang, Zhenhao Ge, Chao Lu
In the past few years, several case studies have illustrated that the use of occupancy information in buildings leads to energy-efficient and low-cost HVAC operation. The widely pr…
Refining Wi-Fi Based Indoor Localization with Li-Fi Assisted Model Calibration in Smart Buildings
Qian Huang, Yuanzhi Zhang, Zhenhao Ge +1
In recent years, there has been an increasing number of information technologies utilized in buildings to advance the idea of "smart buildings". Among various potential techniques,…
Improved Accent Classification Combining Phonetic Vowels with Acoustic Features
Zhenhao Ge
Researches have shown accent classification can be improved by integrating semantic information into pure acoustic approach. In this work, we combine phonetic knowledge, such as vo…
Domain Specific Author Attribution Based on Feedforward Neural Network Language Models
Zhenhao Ge, Yufang Sun
Authorship attribution refers to the task of automatically determining the author based on a given sample of text. It is a problem with a long history and has a wide range of appli…
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…