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20232026
most citedMM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis

1 citations · 3 across the 16 of their papers we have counts for

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cs.SD2026

VoxDub: A Bilingual Lip-Synchronized Audio-Visual Dataset for Automatic Video Dubbing

Kaidi Wang, Wenhao Guan, Peijie Chen +4

Automatic video dubbing (AVD) requires temporally aligned speech, transcripts, and video, yet existing corpora vary in audio quality, transcription reliability, and speaking-face v…

cs.SD2026

JoyAI-Voice 2.0: A Full-Continuous Autoregressive Speech Generation Model with Semantic-Acoustic Joint Representation

Yafeng Chen, Boya Dong, Yankun Huang +17

We present JoyAI-Voice~2.0, an end-to-end anthropomorphic speech generation model built upon a fully continuous, dual-encoder architecture. Raw speech is encoded into continuous la…

cs.SD2026

EditVoice: Variable-Length Non-Autoregressive Zero-Shot TTS and Speech Editing with Edit Flows

Hongyao Deng, Wenhao Guan, Xuetao Lin +4

Recent non-autoregressive (NAR) zero-shot text-to-speech (TTS) models generate in parallel but typically require the target sequence length to be specified before generation. We in…

eess.AS2026

HoliDubber: Holistic Video Dubbing for Complex Acoustic Scenes via Text-Guided Audio Synthesis

Wenhao Guan, Yifan Duan, Junxi Liu +6

Video dubbing is a cornerstone of multimedia content creation, aiming to synthesize synchronized acoustic sequences for visual streams. While Text-to-Speech (TTS) and Text-to-Audio…

cs.SD2026

SARA: A Dual-Stream VAE for High-Fidelity Speech Generation via Integrating Semantic and Acoustic Representations

Peijie Chen, Wenhao Guan, Weijie Wu +7

Zero-shot text-to-speech (TTS) relies on robust speech representations. However, current speech tokenizers face a fundamental trade-off: acoustic codecs preserve high-fidelity audi…