Fengpei Ge

Orcid: 0009-0008-9350-9784

According to our database1, Fengpei Ge authored at least 23 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Legal Judgment Prediction via Fine-Grained Element Graphs and External Knowledge.
Proceedings of the International Joint Conference on Neural Networks, 2024

LeGalFormer: A Graph Representation Learning and Transformer-based Approach for Legal Similar Case Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Research on MacBERT-Based Multi-Type Questions Extractive Machine Reading Comprehension.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

How Legal Knowledge Graph Can Help Predict Charges for Legal Text.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

A lightweight neural network model for spectral speech enhancement.
Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence, 2023

Match and Retrieval: Legal Similar Case Retrieval via Graph Matching Network.
Proceedings of the IEEE International Conference on Data Mining, 2023

2018
Multichannel ASR with Knowledge Distillation and Generalized Cross Correlation Feature.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Two-Stage Enhancement of Noisy and Reverberant Microphone Array Speech for Automatic Speech Recognition Systems Trained with Only Clean Speech.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Investigation on the Combination of Batch Normalization and Dropout in BLSTM-based Acoustic Modeling for ASR.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017
An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2017

Joint Training of Multi-Channel-Condition Dereverberation and Acoustic Modeling of Microphone Array Speech for Robust Distant Speech Recognition.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Deep neural network based wake-up-word speech recognition with two-stage detection.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2014
Smoothing Method for Improved Minimum Phone Error Linear Regression.
IEICE Trans. Inf. Syst., 2014

2010
Forward optimal measures for automatic mispronunciation detection.
Proceedings of the 7th International Symposium on Chinese Spoken Language Processing, 2010

2009
An LVCSR Based Reading Miscue Detection System Using Knowledge of Reference and Error Patterns.
IEICE Trans. Inf. Syst., 2009

Dynamic Multiple Pronunciation Incorporation in a Refined Search Space for Reading Miscue Detection.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

An SVM-Based Mandarin Pronunciation Quality Assessment System.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

A one-step tone recognition approach using MSD-HMM for continuous speech.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Sample-Based Automatic Dictionary Generation for Keyword Spotting System.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
Effective Acoustic Modeling for Pronunciation Quality Scoring of Strongly Accented Mandarin Speech.
IEICE Trans. Inf. Syst., 2008

Using Reference to Tune Language Model for Detection of Reading Miscues.
Proceedings of the 6th International Symposium on Chinese Spoken Language Processing, 2008

Forward optimal modeling of acoustic confusions in Mandarin CALL system.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Application of LVCSR to the Detection of Chinese Mandarin Reading Miscues.
Proceedings of the Fourth International Conference on Natural Computation, 2008


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