Search Results for author: Zhenhao Ge

Found 11 papers, 4 papers with code

Neural Network Based Speaker Classification and Verification Systems with Enhanced Features

1 code implementation8 Feb 2017 Zhenhao Ge, Ananth N. Iyer, Srinath Cheluvaraja, Ram Sundaram, Aravind Ganapathiraju

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.

Sound

Speaker Change Detection Using Features through A Neural Network Speaker Classifier

2 code implementations8 Feb 2017 Zhenhao Ge, Ananth N. Iyer, Srinath Cheluvaraja, Aravind Ganapathiraju

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 speaker data.

Sound

Generation and Pruning of Pronunciation Variants to Improve ASR Accuracy

no code implementations28 Jun 2016 Zhenhao Ge, Aravind Ganapathiraju, Ananth N. Iyer, Scott A. Randal, Felix I. Wyss

Speech recognition, especially name recognition, is widely used in phone services such as company directory dialers, stock quote providers or location finders.

Speech Recognition

PCA/LDA Approach for Text-Independent Speaker Recognition

no code implementations25 Feb 2016 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.

Speaker Recognition Text-Independent Speaker Recognition

PCA Method for Automated Detection of Mispronounced Words

no code implementations25 Feb 2016 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.

Adaptive Frequency Cepstral Coefficients for Word Mispronunciation Detection

no code implementations25 Feb 2016 Zhenhao Ge, Sudhendu R. Sharma, Mark J. T. Smith

New adaptive features have been developed and obtained through an adaptive warping of the frequency scale prior to computing the cepstral coefficients.

Automatic Speech Recognition General Classification

Domain Specific Author Attribution Based on Feedforward Neural Network Language Models

1 code implementation24 Feb 2016 Zhenhao Ge, Yufang Sun

In this paper, we present a novel setup of a Neural Network Language Model (NNLM) and apply it to a database of text samples from different authors.

Author Attribution Language Modelling

Accent Classification with Phonetic Vowel Representation

no code implementations24 Feb 2016 Zhenhao Ge, Yingyi Tan, Aravind Ganapathiraju

Previous accent classification research focused mainly on detecting accents with pure acoustic information without recognizing accented speech.

Classification General Classification

Improved Accent Classification Combining Phonetic Vowels with Acoustic Features

no code implementations24 Feb 2016 Zhenhao Ge

Researches have shown accent classification can be improved by integrating semantic information into pure acoustic approach.

Classification General Classification

Authorship Attribution Using a Neural Network Language Model

1 code implementation17 Feb 2016 Zhenhao Ge, Yufang Sun, Mark J. T. Smith

In practice, training language models for individual authors is often expensive because of limited data resources.

Language Modelling

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