4 citations · 5 across the 10 of their papers we have counts for
10 papers
Retrieval-Augmented Self-Taught Reasoning Model with Adaptive Chain-of-Thought for ASR Named Entity Correction
Junjie An, Jingguang Tian, Tianyi Wang +3
End-to-end automatic speech recognition (ASR) systems frequently misrecognize domain-specific phrases like named entities, which can cause catastrophic failures in downstream tasks…
RA-CLAP: Relation-Augmented Emotional Speaking Style Contrastive Language-Audio Pretraining For Speech Retrieval
Haoqin Sun, Jingguang Tian, Jiaming Zhou +8
The Contrastive Language-Audio Pretraining (CLAP) model has demonstrated excellent performance in general audio description-related tasks, such as audio retrieval. However, in the…
Learning Emotion-Invariant Speaker Representations for Speaker Verification
Jingguang Tian, Xinhui Hu, Xinkang Xu
In recent years, the rapid progress in speaker verification (SV) technology has been driven by the extraction of speaker representations based on deep learning. However, such repre…
Discrete Audio Representations for Automated Audio Captioning
Jingguang Tian, Haoqin Sun, Xinhui Hu +1
Discrete audio representations, termed audio tokens, are broadly categorized into semantic and acoustic tokens, typically generated through unsupervised tokenization of continuous…
A Semantic Information-based Hierarchical Speech Enhancement Method Using Factorized Codec and Diffusion Model
Yang Xiang, Canan Huang, Desheng Hu +3
Most current speech enhancement (SE) methods recover clean speech from noisy inputs by directly estimating time-frequency masks or spectrums. However, these approaches often neglec…
The RoyalFlush Automatic Speech Diarization and Recognition System for In-Car Multi-Channel Automatic Speech Recognition Challenge
Jingguang Tian, Shuaishuai Ye, Shunfei Chen +4
This paper presents our system submission for the In-Car Multi-Channel Automatic Speech Recognition (ICMC-ASR) Challenge, which focuses on speaker diarization and speech recognitio…
A Deep Representation Learning-based Speech Enhancement Method Using Complex Convolution Recurrent Variational Autoencoder
Yang Xiang, Jingguang Tian, Xinhui Hu +2
Generally, the performance of deep neural networks (DNNs) heavily depends on the quality of data representation learning. Our preliminary work has emphasized the significance of de…
Large-Scale Learning on Overlapped Speech Detection: New Benchmark and New General System
Zhaohui Yin, Jingguang Tian, Xinhui Hu +2
Overlapped Speech Detection (OSD) is an important part of speech applications involving analysis of multi-party conversations. However, most of existing OSD systems are trained and…
The Royalflush System for VoxCeleb Speaker Recognition Challenge 2022
Jingguang Tian, Xinhui Hu, Xinkang Xu
In this technical report, we describe the Royalflush submissions for the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22). Our submissions contain track 1, which is for supe…
Royalflush Speaker Diarization System for ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge
Jingguang Tian, Xinhui Hu, Xinkang Xu
This paper describes the Royalflush speaker diarization system submitted to the Multi-channel Multi-party Meeting Transcription Challenge(M2MeT). Our system comprises speech enhanc…