4 citations · 6 across the 9 of their papers we have counts for
9 papers
Stabilizing Short Duration Speaker Verification through Neural Re-scoring with Hybrid Enrollment
Zhiqi Ai, Han Cheng, Shiyi Mu +3
Short-duration speaker verification (SDSV) is crucial for personalized keyword spotting, where test utterances are typically shorter than three seconds. Limited speech duration res…
SpeakerRPL v2: Robust Open-set Speaker Identification through Enhanced Few-shot Foundation Tuning and Model Fusion
Zhiyong Chen, Shuhang Wu, Yingjie Duan +2
This paper proposes an improved approach for open-set speaker identification based on pretrained speaker foundation models. Building upon the previous Speaker Reciprocal Points Lea…
VoxAging: Continuously Tracking Speaker Aging with a Large-Scale Longitudinal Dataset in English and Mandarin
Zhiqi Ai, Meixuan Bao, Zhiyong Chen +3
The performance of speaker verification systems is adversely affected by speaker aging. However, due to challenges in data collection, particularly the lack of sustained and large-…
Enhancing Open-Set Speaker Identification through Rapid Tuning with Speaker Reciprocal Points and Negative Sample
Zhiyong Chen, Zhiqi Ai, Xinnuo Li +1
This paper introduces a novel framework for open-set speaker identification in household environments, playing a crucial role in facilitating seamless human-computer interactions.…
StyleFusion TTS: Multimodal Style-control and Enhanced Feature Fusion for Zero-shot Text-to-speech Synthesis
Zhiyong Chen, Xinnuo Li, Zhiqi Ai +1
We introduce StyleFusion-TTS, a prompt and/or audio referenced, style and speaker-controllable, zero-shot text-to-speech (TTS) synthesis system designed to enhance the editability…
MM-KWS: Multi-modal Prompts for Multilingual User-defined Keyword Spotting
Zhiqi Ai, Zhiyong Chen, Shugong Xu
In this paper, we propose MM-KWS, a novel approach to user-defined keyword spotting leveraging multi-modal enrollments of text and speech templates. Unlike previous methods that fo…
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition
Zhiwei Jia, Shugong Xu, Shiyi Mu +3
Although recent works based on deep learning have made progress in improving recognition accuracy on scene text recognition, how to handle low-quality text images in end-to-end dee…
A Study on Angular Based Embedding Learning for Text-independent Speaker Verification
Zhiyong Chen, Zongze Ren, Shugong Xu
Learning a good speaker embedding is important for many automatic speaker recognition tasks, including verification, identification and diarization. The embeddings learned by softm…
Triplet Based Embedding Distance and Similarity Learning for Text-independent Speaker Verification
Zongze Ren, Zhiyong Chen, Shugong Xu
Speaker embeddings become growing popular in the text-independent speaker verification task. In this paper, we propose two improvements during the training stage. The improvements…