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20222026
most citedConnecting Multi-modal Contrastive Representations

13 citations · 33 across the 42 of their papers we have counts for

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11 papers · 1 filter

eess.AS2026

OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue

Haolin He, Yunfei Chu, Qi Chen +15

We define OmniVChat (Omni Video Chat) as the task of native audio-visual dialogue between a user and an omni model. In OmniVChat, omni models directly and simultaneously receive au…

eess.AS2026

DiaScriber: A Speech LLM for Joint Diarization and Transcription in Multi-Speaker Scenarios

Bingshen Mu, Xian Shi, Xiong Wang +6

Multi-speaker automatic speech recognition (MSASR) aims to jointly predict content transcriptions, speaker identities, and timestamps, thereby addressing the key question of "who s…

eess.AS2026

A Survey of Full-Duplex Spoken Dialogue Systems: Architectural Hierarchy, Interaction Ontology, and Decision State Machine

Jingyu Lu, Yuhan Wang, Jianming Luo +15

More than a dozen spoken dialogue systems have recently claimed to be "full-duplex," yet the term has been used to describe substantially different capabilities. Existing surveys c…

eess.AS2026

SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness

Jingyu Lu, Yuhan Wang, Fan Zhuo +7

The rapid evolution of end-to-end spoken dialogue systems demands transcending mere textual semantics to incorporate paralinguistic nuances and the spontaneous nature of human conv…

eess.AS2025

Rhythm Controllable and Efficient Zero-Shot Voice Conversion via Shortcut Flow Matching

Jialong Zuo, Shengpeng Ji, Minghui Fang +7

Zero-Shot Voice Conversion (VC) aims to transform the source speaker's timbre into an arbitrary unseen one while retaining speech content. Most prior work focuses on preserving the…

eess.AS2025

WavReward: Spoken Dialogue Models With Generalist Reward Evaluators

Shengpeng Ji, Tianle Liang, Yangzhuo Li +11

End-to-end spoken dialogue models such as GPT-4o-audio have recently garnered significant attention in the speech domain. However, the evaluation of spoken dialogue models' convers…

eess.AS2024★ 2 cited

WavChat: A Survey of Spoken Dialogue Models

Shengpeng Ji, Yifu Chen, Minghui Fang +16

Recent advancements in spoken dialogue models, exemplified by systems like GPT-4o, have captured significant attention in the speech domain. Compared to traditional three-tier casc…

eess.AS2024

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

Shengpeng Ji, Ziyue Jiang, Wen Wang +14

Language models have been effectively applied to modeling natural signals, such as images, video, speech, and audio. A crucial component of these models is the codec tokenizer, whi…

eess.AS2024★ 1 cited

AudioLCM: Text-to-Audio Generation with Latent Consistency Models

Huadai Liu, Rongjie Huang, Yang Liu +5

Recent advancements in Latent Diffusion Models (LDMs) have propelled them to the forefront of various generative tasks. However, their iterative sampling process poses a significan…

eess.AS2024

ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control

Shengpeng Ji, Qian Chen, Wen Wang +8

In this paper, we present ControlSpeech, a text-to-speech (TTS) system capable of fully cloning the speaker's voice and enabling arbitrary control and adjustment of speaking style.…

eess.AS2024

Text-to-Song: Towards Controllable Music Generation Incorporating Vocals and Accompaniment

Zhiqing Hong, Rongjie Huang, Xize Cheng +5

A song is a combination of singing voice and accompaniment. However, existing works focus on singing voice synthesis and music generation independently. Little attention was paid t…