activity
20162019
most citedNeural Network Based Speaker Classification and Verification Systems with Enhanced Features

2 citations · 3 across the 4 of their papers we have counts for

collaborators

12 papers

cs.CV20191 cited

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…

cs.SD20172 cited

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.…

cs.SD2017

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…

cs.CL2016

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…

cs.SD2016

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…

cs.SD2016

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…