activity
20202023
most citedLeveraging Photogrammetric Mesh Models for Aerial-Ground Feature Point Matching Toward Integrated 3D Reconstruction

53 citations · 111 across the 62 of their papers we have counts for

collaborators

62 papers

cs.SD2023

HiGNN-TTS: Hierarchical Prosody Modeling with Graph Neural Networks for Expressive Long-form TTS

Dake Guo, Xinfa Zhu, Liumeng Xue +4

Recent advances in text-to-speech, particularly those based on Graph Neural Networks (GNNs), have significantly improved the expressiveness of short-form synthetic speech. However,…

cs.SD2023★ 1 cited

The second multi-channel multi-party meeting transcription challenge (M2MeT) 2.0): A benchmark for speaker-attributed ASR

Yuhao Liang, Mohan Shi, Fan Yu +11

With the success of the first Multi-channel Multi-party Meeting Transcription challenge (M2MeT), the second M2MeT challenge (M2MeT 2.0) held in ASRU2023 particularly aims to tackle…

eess.AS2023

MSM-VC: High-fidelity Source Style Transfer for Non-Parallel Voice Conversion by Multi-scale Style Modeling

Zhichao Wang, Xinsheng Wang, Qicong Xie +4

In addition to conveying the linguistic content from source speech to converted speech, maintaining the speaking style of source speech also plays an important role in the voice co…

cs.SD2023

Timbre-reserved Adversarial Attack in Speaker Identification

Qing Wang, Jixun Yao, Li Zhang +2

As a type of biometric identification, a speaker identification (SID) system is confronted with various kinds of attacks. The spoofing attacks typically imitate the timbre of the t…

cs.SD2023★ 1 cited

DiCLET-TTS: Diffusion Model based Cross-lingual Emotion Transfer for Text-to-Speech -- A Study between English and Mandarin

Tao Li, Chenxu Hu, Jian Cong +5

While the performance of cross-lingual TTS based on monolingual corpora has been significantly improved recently, generating cross-lingual speech still suffers from the foreign acc…

eess.AS2023

DualVC 2: Dynamic Masked Convolution for Unified Streaming and Non-Streaming Voice Conversion

Ziqian Ning, Yuepeng Jiang, Pengcheng Zhu +4

Voice conversion is becoming increasingly popular, and a growing number of application scenarios require models with streaming inference capabilities. The recently proposed DualVC…

eess.AS2023★ 1 cited

PromptVC: Flexible Stylistic Voice Conversion in Latent Space Driven by Natural Language Prompts

Jixun Yao, Yuguang Yang, Yi Lei +7

Style voice conversion aims to transform the style of source speech to a desired style according to real-world application demands. However, the current style voice conversion appr…

eess.AS2023★ 1 cited

METTS: Multilingual Emotional Text-to-Speech by Cross-speaker and Cross-lingual Emotion Transfer

Xinfa Zhu, Yi Lei, Tao Li +4

Previous multilingual text-to-speech (TTS) approaches have considered leveraging monolingual speaker data to enable cross-lingual speech synthesis. However, such data-efficient app…

cs.SD2023★ 1 cited

The FlySpeech Audio-Visual Speaker Diarization System for MISP Challenge 2022

Li Zhang, Huan Zhao, Yue Li +6

This paper describes the FlySpeech speaker diarization system submitted to the second \textbf{M}ultimodal \textbf{I}nformation Based \textbf{S}peech \textbf{P}rocessing~(\textbf{MI…

cs.SD2023

The NPU-MSXF Speech-to-Speech Translation System for IWSLT 2023 Speech-to-Speech Translation Task

Kun Song, Yi lei, Peikun Chen +6

This paper describes the NPU-MSXF system for the IWSLT 2023 speech-to-speech translation (S2ST) task which aims to translate from English speech of multi-source to Chinese speech.…

eess.SP2023★ 7 cited

MSW-Transformer: Multi-Scale Shifted Windows Transformer Networks for 12-Lead ECG Classification

Renjie Cheng, Zhemin Zhuang, Shuxin Zhuang +2

Automatic classification of electrocardiogram (ECG) signals plays a crucial role in the early prevention and diagnosis of cardiovascular diseases. While ECG signals can be used for…

eess.AS2023

DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting

Shubo Lv, Xiong Wang, Sining Sun +2

Real-world complex acoustic environments especially the ones with a low signal-to-noise ratio (SNR) will bring tremendous challenges to a keyword spotting (KWS) system. Inspired by…

eess.AS2023

LM-VC: Zero-shot Voice Conversion via Speech Generation based on Language Models

Zhichao Wang, Yuanzhe Chen, Lei Xie +2

Language model (LM) based audio generation frameworks, e.g., AudioLM, have recently achieved new state-of-the-art performance in zero-shot audio generation. In this paper, we explo…

cs.SD2023★ 1 cited

Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition

Tianyi Xu, Zhanheng Yang, Kaixun Huang +6

By incorporating additional contextual information, deep biasing methods have emerged as a promising solution for speech recognition of personalized words. However, for real-world…

cs.SD2023★ 2 cited

PromptStyle: Controllable Style Transfer for Text-to-Speech with Natural Language Descriptions

Guanghou Liu, Yongmao Zhang, Yi Lei +4

Style transfer TTS has shown impressive performance in recent years. However, style control is often restricted to systems built on expressive speech recordings with discrete style…

eess.AS2023

DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive Coding

Ziqian Ning, Yuepeng Jiang, Pengcheng Zhu +4

Voice conversion is an increasingly popular technology, and the growing number of real-time applications requires models with streaming conversion capabilities. Unlike typical (non…

cs.SD2023★ 1 cited

Pseudo-Siamese Network based Timbre-reserved Black-box Adversarial Attack in Speaker Identification

Qing Wang, Jixun Yao, Ziqian Wang +2

In this study, we propose a timbre-reserved adversarial attack approach for speaker identification (SID) to not only exploit the weakness of the SID model but also preserve the tim…

cs.SD2023

StyleS2ST: Zero-shot Style Transfer for Direct Speech-to-speech Translation

Kun Song, Yi Ren, Yi Lei +5

Direct speech-to-speech translation (S2ST) has gradually become popular as it has many advantages compared with cascade S2ST. However, current research mainly focuses on the accura…

cs.SD2023

BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR

Yuhao Liang, Fan Yu, Yangze Li +4

The recently proposed serialized output training (SOT) simplifies multi-talker automatic speech recognition (ASR) by generating speaker transcriptions separated by a special token.…

eess.AS2023★ 5 cited

TranUSR: Phoneme-to-word Transcoder Based Unified Speech Representation Learning for Cross-lingual Speech Recognition

Hongfei Xue, Qijie Shao, Peikun Chen +3

UniSpeech has achieved superior performance in cross-lingual automatic speech recognition (ASR) by explicitly aligning latent representations to phoneme units using multi-task self…

eess.AS2023

Contextualized End-to-End Speech Recognition with Contextual Phrase Prediction Network

Kaixun Huang, Ao Zhang, Zhanheng Yang +4

Contextual information plays a crucial role in speech recognition technologies and incorporating it into the end-to-end speech recognition models has drawn immense interest recentl…

eess.AS2023★ 1 cited

Multi-level Temporal-channel Speaker Retrieval for Zero-shot Voice Conversion

Zhichao Wang, Liumeng Xue, Qiuqiang Kong +4

Zero-shot voice conversion (VC) converts source speech into the voice of any desired speaker using only one utterance of the speaker without requiring additional model updates. Typ…

eess.AS2023★ 1 cited

The NPU-Elevoc Personalized Speech Enhancement System for ICASSP2023 DNS Challenge

Xiaopeng Yan, Yindi Yang, Zhihao Guo +2

This paper describes our NPU-Elevoc personalized speech enhancement system (NAPSE) for the 5th Deep Noise Suppression Challenge at ICASSP 2023. Based on the superior two-stage mode…

cs.SD2023

Distance-based Weight Transfer from Near-field to Far-field Speaker Verification

Li Zhang, Qing Wang, Hongji Wang +4

The scarcity of labeled far-field speech is a constraint for training superior far-field speaker verification systems. Fine-tuning the model pre-trained on large-scale near-field s…