3 citations · 3 across the 11 of their papers we have counts for
11 papers
SCDiar: a streaming diarization system based on speaker change detection and speech recognition
Naijun Zheng, Xucheng Wan, Kai Liu +1
In hours-long meeting scenarios, real-time speech stream often struggles with achieving accurate speaker diarization, commonly leading to speaker identification and speaker count e…
CAMEL: Cross-Attention Enhanced Mixture-of-Experts and Language Bias for Code-Switching Speech Recognition
He Wang, Xucheng Wan, Naijun Zheng +4
Code-switching automatic speech recognition (ASR) aims to transcribe speech that contains two or more languages accurately. To better capture language-specific speech representatio…
XCB: an effective contextual biasing approach to bias cross-lingual phrases in speech recognition
Xucheng Wan, Naijun Zheng, Kai Liu +1
Contextualized ASR models have been demonstrated to effectively improve the recognition accuracy of uncommon phrases when a predefined phrase list is available. However, these mode…
An efficient text augmentation approach for contextualized Mandarin speech recognition
Naijun Zheng, Xucheng Wan, Kai Liu +2
Although contextualized automatic speech recognition (ASR) systems are commonly used to improve the recognition of uncommon words, their effectiveness is hindered by the inherent l…
MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition
Bingshen Mu, Yangze Li, Qijie Shao +5
Despite notable advancements in automatic speech recognition (ASR), performance tends to degrade when faced with adverse conditions. Generative error correction (GER) leverages the…
Enhancing Lip Reading with Multi-Scale Video and Multi-Encoder
He Wang, Pengcheng Guo, Xucheng Wan +2
Automatic lip-reading (ALR) aims to automatically transcribe spoken content from a speaker's silent lip motion captured in video. Current mainstream lip-reading approaches only use…
BA-MoE: Boundary-Aware Mixture-of-Experts Adapter for Code-Switching Speech Recognition
Peikun Chen, Fan Yu, Yuhao Lian +5
Mixture-of-experts based models, which use language experts to extract language-specific representations effectively, have been well applied in code-switching automatic speech reco…
X-SepFormer: End-to-end Speaker Extraction Network with Explicit Optimization on Speaker Confusion
Kai Liu, Ziqing Du, Xucheng Wan +1
Target speech extraction (TSE) systems are designed to extract target speech from a multi-talker mixture. The popular training objective for most prior TSE networks is to enhance r…
Improving Target Speaker Extraction with Sparse LDA-transformed Speaker Embeddings
Kai Liu, Xucheng Wan, Ziqing Du +1
As a practical alternative of speech separation, target speaker extraction (TSE) aims to extract the speech from the desired speaker using additional speaker cue extracted from the…
Joint Speech Activity and Overlap Detection with Multi-Exit Architecture
Ziqing Du, Kai Liu, Xucheng Wan +1
Overlapped speech detection (OSD) is critical for speech applications in scenario of multi-party conversion. Despite numerous research efforts and progresses, comparing with speech…
Speech Enhancement with Perceptually-motivated Optimization and Dual Transformations
Xucheng Wan, Kai Liu, Ziqing Du +1
To address the monaural speech enhancement problem, numerous research studies have been conducted to enhance speech via operations either in time-domain on the inner-domain learned…