94 citations · 319 across the 46 of their papers we have counts for
16 papers · 1 filter
A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data
Weicheng Cai, Ming Li
This paper proposes a unified deep speaker embedding framework for modeling speech data with different sampling rates. Considering the narrowband spectrogram as a sub-image of the…
Exploring Voice Conversion based Data Augmentation in Text-Dependent Speaker Verification
Xiaoyi Qin, Yaogen Yang, Lin Yang +3
In this paper, we focus on improving the performance of the text-dependent speaker verification system in the scenario of limited training data. The speaker verification system dee…
Training Wake Word Detection with Synthesized Speech Data on Confusion Words
Yan Jia, Zexin Cai, Murong Ma +4
Confusing-words are commonly encountered in real-life keyword spotting applications, which causes severe degradation of performance due to complex spoken terms and various kinds of…
An iterative framework for self-supervised deep speaker representation learning
Danwei Cai, Weiqing Wang, Ming Li
In this paper, we propose an iterative framework for self-supervised speaker representation learning based on a deep neural network (DNN). The framework starts with training a self…
The DKU-DukeECE Systems for VoxCeleb Speaker Recognition Challenge 2020
Weiqing Wang, Danwei Cai, Xiaoyi Qin +1
In this paper, we present the system submission for the VoxCeleb Speaker Recognition Challenge 2020 (VoxSRC-20) by the DKU-DukeECE team. For track 1, we explore various kinds of st…
AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines
Yao Shi, Hui Bu, Xin Xu +2
In this paper, we present AISHELL-3, a large-scale and high-fidelity multi-speaker Mandarin speech corpus which could be used to train multi-speaker Text-to-Speech (TTS) systems. T…
Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling
Haiwei Wu, Lin Zhang, Lin Yang +4
This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020. For the mask detection task, we train deep convolutional ne…
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection
Murong Ma, Haiwei Wu, Xuyang Wang +3
In this paper, we propose a deep convolutional neural network-based acoustic word embedding system on code-switching query by example spoken term detection. Different from previous…
Atss-Net: Target Speaker Separation via Attention-based Neural Network
Tingle Li, Qingjian Lin, Yuanyuan Bao +1
Recently, Convolutional Neural Network (CNN) and Long short-term memory (LSTM) based models have been introduced to deep learning-based target speaker separation. In this paper, we…
The INTERSPEECH 2020 Far-Field Speaker Verification Challenge
Xiaoyi Qin, Ming Li, Hui Bu +4
The INTERSPEECH 2020 Far-Field Speaker Verification Challenge (FFSVC 2020) addresses three different research problems under well-defined conditions: far-field text-dependent speak…
From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback Constraint
Zexin Cai, Chuxiong Zhang, Ming Li
High-fidelity speech can be synthesized by end-to-end text-to-speech models in recent years. However, accessing and controlling speech attributes such as speaker identity, prosody,…
Domain Aware Training for Far-field Small-footprint Keyword Spotting
Haiwei Wu, Yan Jia, Yuanfei Nie +1
In this paper, we focus on the task of small-footprint keyword spotting under the far-field scenario. Far-field environments are commonly encountered in real-life speech applicatio…
Within-sample variability-invariant loss for robust speaker recognition under noisy environments
Danwei Cai, Weicheng Cai, Ming Li
Despite the significant improvements in speaker recognition enabled by deep neural networks, unsatisfactory performance persists under noisy environments. In this paper, we train t…
The FFSVC 2020 Evaluation Plan
Xiaoyi Qin, Ming Li, Hui Bu +4
The Far-Field Speaker Verification Challenge 2020 (FFSVC20) is designed to boost the speaker verification research with special focus on far-field distributed microphone arrays und…
DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Team
Qingjian Lin, Weicheng Cai, Lin Yang +3
In this paper, we present the submitted system for the second DIHARD Speech Diarization Challenge from the DKULENOVO team. Our diarization system includes multiple modules, namely…
HI-MIA : A Far-field Text-Dependent Speaker Verification Database and the Baselines
Xiaoyi Qin, Hui Bu, Ming Li
This paper presents a far-field text-dependent speaker verification database named HI-MIA. We aim to meet the data requirement for far-field microphone array based speaker verifica…