Lei Xie

Context-aware RNNLM Rescoring for Conversational Speech Recognition

Conversational speech recognition is regarded as a challenging task due ...
11/18/2020 ∙ by Kun Wei, et al. ∙ 0 ∙ share

read it
Multi-Channel Automatic Speech Recognition Using Deep Complex Unet

The front-end module in multi-channel automatic speech recognition (ASR)...
11/18/2020 ∙ by Yuxiang Kong, et al. ∙ 0 ∙ share

read it
Controllable Emotion Transfer For End-to-End Speech Synthesis

Emotion embedding space learned from references is a straightforward app...
11/17/2020 ∙ by Tao Li, et al. ∙ 0 ∙ share

read it
Adversarial Training for Multi-domain Speaker Recognition

In real-life applications, the performance of speaker recognition system...
11/17/2020 ∙ by Qing Wang, et al. ∙ 0 ∙ share

read it
Optimizing voice conversion network with cycle consistency loss of speaker identity

We propose a novel training scheme to optimize voice conversion network ...
11/17/2020 ∙ by Hongqiang Du, et al. ∙ 0 ∙ share

read it
Fine-grained Emotion Strength Transfer, Control and Prediction for Emotional Speech Synthesis

This paper proposes a unified model to conduct emotion transfer, control...
11/17/2020 ∙ by Yi Lei, et al. ∙ 0 ∙ share

read it
Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter

End-to-end models are favored in automatic speech recognition (ASR) beca...
11/17/2020 ∙ by Xiong Wang, et al. ∙ 0 ∙ share

read it
Learn2Sing: Target Speaker Singing Voice Synthesis by learning from a Singing Teacher

Singing voice synthesis has been paid rising attention with the rapid de...
11/17/2020 ∙ by Heyang Xue, et al. ∙ 0 ∙ share

read it
Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures

The prediction of physicochemical properties from molecular structures i...
11/15/2020 ∙ by Shuo Zhang, et al. ∙ 0 ∙ share

read it
The SLT 2021 children speech recognition challenge: Open datasets, rules and baselines

Automatic speech recognition (ASR) has been significantly advanced with ...
11/13/2020 ∙ by Fan Yu, et al. ∙ 0 ∙ share

read it
IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines

The IEEE Spoken Language Technology Workshop (SLT) 2021 Alpha-mini Speec...
11/04/2020 ∙ by Yihui Fu, et al. ∙ 0 ∙ share

read it
DESNet: A Multi-channel Network for Simultaneous Speech Dereverberation, Enhancement and Separation

In this paper, we propose a multi-channel network for simultaneous speec...
11/04/2020 ∙ by Yihui Fu, et al. ∙ 0 ∙ share

read it
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification

The AutoSpeech challenge calls for automated machine learning (AutoML) s...
10/25/2020 ∙ by Jingsong Wang, et al. ∙ 12 ∙ share

read it
A Cross-Level Information Transmission Network for Predicting Phenotype from New Genotype: Application to Cancer Precision Medicine

An unsolved fundamental problem in biology and ecology is to predict obs...
10/09/2020 ∙ by Di He, et al. ∙ 0 ∙ share

read it
An End-to-end Architecture of Online Multi-channel Speech Separation

Multi-speaker speech recognition has been one of the keychallenges in co...
09/07/2020 ∙ by Jian Wu, et al. ∙ 0 ∙ share

read it
AIPerf: Automated machine learning as an AI-HPC benchmark

The plethora of complex artificial intelligence (AI) algorithms and avai...
08/17/2020 ∙ by Zhixiang Ren, et al. ∙ 0 ∙ share

read it
Channel-wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Music

This paper presents a new input format, channel-wise subband input (CWS)...
08/12/2020 ∙ by Haohe Liu, et al. ∙ 0 ∙ share

read it
Data Efficient Voice Cloning from Noisy Samples with Domain Adversarial Training

Data efficient voice cloning aims at synthesizing target speaker's voice...
08/10/2020 ∙ by Jian Cong, et al. ∙ 0 ∙ share

read it
NPU Speaker Verification System for INTERSPEECH 2020 Far-Field Speaker Verification Challenge

This paper describes the NPU system submitted to Interspeech 2020 Far-Fi...
08/08/2020 ∙ by Li Zhang, et al. ∙ 0 ∙ share

read it
Exploiting Deep Sentential Context for Expressive End-to-End Speech Synthesis

Attention-based seq2seq text-to-speech systems, especially those use sel...
08/03/2020 ∙ by Fengyu Yang, et al. ∙ 0 ∙ share

read it
DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

Speech enhancement has benefited from the success of deep learning in te...
08/01/2020 ∙ by Yanxin Hu, et al. ∙ 0 ∙ share

read it
The ASRU 2019 Mandarin-English Code-Switching Speech Recognition Challenge: Open Datasets, Tracks, Methods and Results

Code-switching (CS) is a common phenomenon and recognizing CS speech is ...
07/12/2020 ∙ by Xian Shi, et al. ∙ 0 ∙ share

read it
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals

Neural sequence-to-sequence models are well established for applications...
06/25/2020 ∙ by Jing Shi, et al. ∙ 0 ∙ share

read it
Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition

Speaker recognition is a popular topic in biometric authentication and m...
05/21/2020 ∙ by Qing Wang, et al. ∙ 0 ∙ share

read it
Simplified Self-Attention for Transformer-based End-to-End Speech Recognition

Transformer models have been introduced into end-to-end speech recogniti...
05/21/2020 ∙ by Haoneng Luo, et al. ∙ 0 ∙ share

read it
Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition

Recently, streaming end-to-end automatic speech recognition (E2E-ASR) ha...
05/21/2020 ∙ by Shiliang Zhang, et al. ∙ 0 ∙ share

read it
Conversational End-to-End TTS for Voice Agent

End-to-end neural TTS has achieved superior performance on reading style...
05/21/2020 ∙ by Haohan Guo, et al. ∙ 0 ∙ share

read it
Wake Word Detection with Alignment-Free Lattice-Free MMI

Always-on spoken language interfaces, e.g. personal digital assistants, ...
05/17/2020 ∙ by Yiming Wang, et al. ∙ 0 ∙ share

read it
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech

In this paper, we propose multi-band MelGAN, a much faster waveform gene...
05/11/2020 ∙ by Geng Yang, et al. ∙ 0 ∙ share

read it
Adversarial Feature Learning and Unsupervised Clustering based Speech Synthesis for Found Data with Acoustic and Textual Noise

Attention-based sequence-to-sequence (seq2seq) speech synthesis has achi...
04/28/2020 ∙ by Shan Yang, et al. ∙ 0 ∙ share

read it
a novel cross-lingual voice cloning approach with a few text-free samples

In this paper, we present a cross-lingual voice cloning approach. BN fea...
10/29/2019 ∙ by Xinyong Zhou, et al. ∙ 0 ∙ share

read it
LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans

The specific characteristics of graph workloads make it hard to design a...
10/13/2019 ∙ by Xiaowei Zhu, et al. ∙ 0 ∙ share

read it
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit

We present Espresso, an open-source, modular, extensible end-to-end neur...
09/18/2019 ∙ by Yiming Wang, et al. ∙ 0 ∙ share

read it
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation

Graph Neural Networks (GNNs) are powerful to learn the representation of...
07/04/2019 ∙ by Shuo Zhang, et al. ∙ 0 ∙ share

read it
Building a mixed-lingual neural TTS system with only monolingual data

When deploying a Chinese neural text-to-speech (TTS) synthesis system, o...
04/12/2019 ∙ by Liumeng Xue, et al. ∙ 0 ∙ share

read it
A New GAN-based End-to-End TTS Training Algorithm

End-to-end, autoregressive model-based TTS has shown significant perform...
04/09/2019 ∙ by Haohan Guo, et al. ∙ 0 ∙ share

read it
Exploiting Syntactic Features in a Parsed Tree to Improve End-to-End TTS

The end-to-end TTS, which can predict speech directly from a given seque...
04/09/2019 ∙ by Haohan Guo, et al. ∙ 0 ∙ share

read it
Improved Speaker-Dependent Separation for CHiME-5 Challenge

This paper summarizes several follow-up contributions for improving our ...
04/08/2019 ∙ by Jian Wu, et al. ∙ 0 ∙ share

read it
Time Domain Audio Visual Speech Separation

Audio-visual multi-modal modeling has been demonstrated to be effective ...
04/07/2019 ∙ by Jian Wu, et al. ∙ 0 ∙ share

read it
Exploring RNN-Transducer for Chinese Speech Recognition

End-to-end approaches have drawn much attention recently for significant...
11/13/2018 ∙ by Senmao Wang, et al. ∙ 0 ∙ share

read it
Study of Semi-supervised Approaches to Improving English-Mandarin Code-Switching Speech Recognition

In this paper, we present our overall efforts to improve the performance...
06/16/2018 ∙ by Pengcheng Guo, et al. ∙ 0 ∙ share

read it
Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search

We propose to learn acoustic word embeddings with temporal context for q...
06/10/2018 ∙ by Yougen Yuan, et al. ∙ 0 ∙ share

read it
Domain Adversarial Training for Accented Speech Recognition

In this paper, we propose a domain adversarial training (DAT) algorithm ...
06/07/2018 ∙ by Sining Sun, et al. ∙ 0 ∙ share

read it
Training Augmentation with Adversarial Examples for Robust Speech Recognition

This paper explores the use of adversarial examples in training speech r...
06/07/2018 ∙ by Sining Sun, et al. ∙ 0 ∙ share

read it
Attention-based End-to-End Models for Small-Footprint Keyword Spotting

In this paper, we propose an attention-based end-to-end neural approach ...
03/29/2018 ∙ by Changhao Shan, et al. ∙ 0 ∙ share

read it
Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model

Speaker adaptation aims to estimate a speaker specific acoustic model fr...
03/27/2018 ∙ by Ke Wang, et al. ∙ 0 ∙ share

read it
Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition

We investigate the use of generative adversarial networks (GANs) in spee...
03/27/2018 ∙ by Ke Wang, et al. ∙ 0 ∙ share

read it
Attention-Based End-to-End Speech Recognition on Voice Search

Recently, there has been an increasing interest in end-to-end speech rec...
07/22/2017 ∙ by Changhao Shan, et al. ∙ 0 ∙ share

read it
Statistical Parametric Speech Synthesis Using Generative Adversarial Networks Under A Multi-task Learning Framework

In this paper, we aim at improving the performance of synthesized speech...
07/06/2017 ∙ by Shan Yang, et al. ∙ 0 ∙ share

read it
Empirical Evaluation of Parallel Training Algorithms on Acoustic Modeling

Deep learning models (DLMs) are state-of-the-art techniques in speech re...
03/17/2017 ∙ by Wenpeng Li, et al. ∙ 0 ∙ share

read it

Lei Xie

Featured Co-authors