b'Lei Xie'

Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification

In far-field speaker verification, the performance of speaker embeddings...
06/17/2021 ∙ by Li Zhang, et al. ∙ 0 ∙ share

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Efficient Conformer with Prob-Sparse Attention Mechanism for End-to-EndSpeech Recognition

End-to-end models are favored in automatic speech recognition (ASR) beca...
06/17/2021 ∙ by Xiong Wang, et al. ∙ 0 ∙ share

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DCCRN+: Channel-wise Subband DCCRN with SNR Estimation for Speech Enhancement

Deep complex convolution recurrent network (DCCRN), which extends CRN wi...
06/16/2021 ∙ by Shubo Lv, et al. ∙ 0 ∙ share

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Multi-Speaker ASR Combining Non-Autoregressive Conformer CTC and Conditional Speaker Chain

Non-autoregressive (NAR) models have achieved a large inference computat...
06/16/2021 ∙ by Pengcheng Guo, et al. ∙ 0 ∙ share

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F-T-LSTM based Complex Network for Joint Acoustic Echo Cancellation and Speech Enhancement

With the increasing demand for audio communication and online conference...
06/14/2021 ∙ by Shimin Zhang, et al. ∙ 0 ∙ share

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Boundary and Context Aware Training for CIF-based Non-Autoregressive End-to-end ASR

Continuous integrate-and-fire (CIF) based models, which use a soft and m...
04/10/2021 ∙ by Fan Yu, et al. ∙ 0 ∙ share

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AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

In this paper, we present AISHELL-4, a sizable real-recorded Mandarin sp...
04/08/2021 ∙ by Yihui Fu, et al. ∙ 0 ∙ share

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Darts-Conformer: Towards Efficient Gradient-Based Neural Architecture Search For End-to-End ASR

Neural architecture search (NAS) has been successfully applied to tasks ...
04/07/2021 ∙ by Xian Shi, et al. ∙ 0 ∙ share

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INTERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing

The ConferencingSpeech 2021 challenge is proposed to stimulate research ...
04/02/2021 ∙ by Wei Rao, et al. ∙ 0 ∙ share

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Auto-KWS 2021 Challenge: Task, Datasets, and Baselines

Auto-KWS 2021 challenge calls for automated machine learning (AutoML) so...
03/31/2021 ∙ by Jingsong Wang, et al. ∙ 11 ∙ share

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An Asynchronous WFST-Based Decoder For Automatic Speech Recognition

We introduce asynchronous dynamic decoder, which adopts an efficient A* ...
03/16/2021 ∙ by Hang Lv, et al. ∙ 0 ∙ share

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The NPU System for the 2020 Personalized Voice Trigger Challenge

This paper describes the system developed by the NPU team for the 2020 p...
02/26/2021 ∙ by Jingyong Hou, et al. ∙ 0 ∙ share

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The Accented English Speech Recognition Challenge 2020: Open Datasets, Tracks, Baselines, Results and Methods

The variety of accents has posed a big challenge to speech recognition. ...
02/20/2021 ∙ by Xian Shi, et al. ∙ 0 ∙ share

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WeNet: Production First and Production Ready End-to-End Speech Recognition Toolkit

In this paper, we present a new open source, production first and produc...
02/02/2021 ∙ by BinBin Zhang, et al. ∙ 0 ∙ share

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CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line Transcriptomics

Accurate and robust prediction of patient's response to drug treatments ...
01/31/2021 ∙ by Di He, et al. ∙ 0 ∙ share

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Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition

In this paper, we present a novel two-pass approach to unify streaming a...
12/10/2020 ∙ by BinBin Zhang, et al. ∙ 0 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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. ∙ 1 ∙ share

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Lei Xie

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