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20192026
most citedSpEx: Multi-Scale Time Domain Speaker Extraction Network

158 citations · 242 across the 13 of their papers we have counts for

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12 papers · 1 filter

eess.AS2026

Preference Optimization for Non-Verbal Vocalization Synthesis

Haoyang Li, Chenglin Xu, Junchuan Zhao +4

Non-verbal vocalizations (NVs), such as laughter, coughs, and sighs, are essential for expressive TTS, but the effectiveness of preference optimization for NV generation remains po…

eess.AS2026

EmoTra-TTS: Smooth Intra-Utterance Emotion Transitions for Speech Synthesis

Tianchi Liu, Zeyang Song, Tianrui Wang +3

Psychological research on emotion dynamics has established that human affect is a continuous, evolving process: emotions rise, decay, and transition within seconds. Current emotion…

eess.AS2022

L-SpEx: Localized Target Speaker Extraction

Meng Ge, Chenglin Xu, Longbiao Wang +3

Speaker extraction aims to extract the target speaker's voice from a multi-talker speech mixture given an auxiliary reference utterance. Recent studies show that speaker extraction…

eess.AS20212 cited

Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker Speech

Chenglin Xu, Wei Rao, Jibin Wu +1

Speaker verification has been studied mostly under the single-talker condition. It is adversely affected in the presence of interference speakers. Inspired by the study on target s…

eess.AS20205 cited

Multi-stage Speaker Extraction with Utterance and Frame-Level Reference Signals

Meng Ge, Chenglin Xu, Longbiao Wang +3

Speaker extraction requires a sample speech from the target speaker as the reference. However, enrolling a speaker with a long speech is not practical. We propose a speaker extract…

eess.AS2020

Muse: Multi-modal target speaker extraction with visual cues

Zexu Pan, Ruijie Tao, Chenglin Xu +1

Speaker extraction algorithm relies on the speech sample from the target speaker as the reference point to focus its attention. Such a reference speech is typically pre-recorded. O…