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20192026
most citedTriplet Based Embedding Distance and Similarity Learning for Text-independent Speaker Verification

4 citations · 6 across the 9 of their papers we have counts for

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eess.AS2026

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…

eess.AS2026

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…

eess.AS2024

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.…

eess.AS2024

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…

eess.AS2024

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…

eess.AS2019★ 4 cited

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…