12 Result(s)
within
Zhengqi Wen
English
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Article
Open AccessConstruction of iron metabolism-related prognostic features of gastric cancer based on RNA sequencing and TCGA database
Researches have manifested that the disorder of iron metabolism is participated in Gastric cancer (GC), but whether iron metabolism-relevant genes (IMRGs) is related to the survival outcome of GC remain unknown.
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Article
A Public Chinese Dataset for Language Model Adaptation
A language model (LM) is an important part of a speech recognition system. The performance of an LM is affected when the domains of training data and test data are different. Language model adaptation is to co...
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Article
Improving Deep Neural Network Based Speech Synthesis through Contextual Feature Parametrization and Multi-Task Learning
We propose three techniques to improve speech synthesis based on deep neural network (DNN). First, at the DNN input we use real-valued contextual feature vector to represent phoneme identity, part of speech an...
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Article
CTC Regularized Model Adaptation for Improving LSTM RNN Based Multi-Accent Mandarin Speech Recognition
This paper proposes a novel regularized adaptation method to improve the performance of multi-accent Mandarin speech recognition task. The acoustic model is based on long short term memory recurrent neural net...
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Article
Investigating Deep Neural Network Adaptation for Generating Exclamatory and Interrogative Speech in Mandarin
Currently, most speech synthesis systems only generate speech in a reading style, which greatly affects the expressiveness of the synthetized speech. To improve the expressiveness of the synthetized speech, th...
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Chapter and Conference Paper
Acoustic Model Compression with Knowledge Transfer
Mobile devices have limited computing power and limited memory. Thus, large deep neural network (DNN) based acoustic models are not well suited for application on mobile devices. In order to alleviate this pro...
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Chapter and Conference Paper
Multi-task Learning in Prediction and Correction for Low Resource Speech Recognition
In this paper we investigate the performance of Multitask learning (MTL) for the combined model of Convolutional, Long Short-Term Memory and Deep neural Networks (CLDNN) for low resource speech recognition ta...
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Article
Speech Enhancement Based on Analysis–Synthesis Framework with Improved Parameter Domain Enhancement
This paper presents a speech enhancement approach based on analysis–synthesis framework. An improved multi-band summary correlogram (MBSC) algorithm is proposed for pitch estimation and voiced/unvoiced (V/UV) ...
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Article
Investigating Effect of Rich Syntactic Features on Mandarin Prosodic Boundaries Prediction
Previous researches indicated that syntactic information could improve the performance of automatic prosodic boundaries prediction. However, few researches focused on the usefulness of various syntactic featur...
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Chapter and Conference Paper
Recurrent Neural Network Based Language Model Adaptation for Accent Mandarin Speech
In this paper, we propose to adapt the recurrent neural network (RNN) based language model to improve the performance of multi-accent Mandarin speech recognition. N-gram based language model can be easily appl...
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Article
Activin A can induce definitive endoderm differentiation from human parthenogenetic embryonic stem cells
As activin/nodal signaling plays a key role in definitive endoderm (DE) differentiation, we have explored activin A-induced differentiation of DE from human parthenogenetic embryonic stem cells (hPESCs).
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Article
Pitch-Scaled Spectrum Based Excitation Model for HMM-based Speech Synthesis
The speech generated by hidden Markov model (HMM)-based speech synthesis systems (HTS) suffers from a ‘buzzing’ sound, which is due to an over-simplified vocoding technique. This paper proposes a new excitatio...
