activity
20172023
most citedTowards Realistic Visual Dubbing with Heterogeneous Sources

34 citations · 195 across the 59 of their papers we have counts for

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Showing 2023 · cs.CLShow all

6 papers · 2 filters

cs.CL2023★ 5 cited

PolyVoice: Language Models for Speech to Speech Translation

Qianqian Dong, Zhiying Huang, Qiao Tian +15

We propose PolyVoice, a language model-based framework for speech-to-speech translation (S2ST) system. Our framework consists of two language models: a translation language model a…

cs.CL2023

Text-only Domain Adaptation using Unified Speech-Text Representation in Transducer

Lu Huang, Boyu Li, Jun Zhang +2

Domain adaptation using text-only corpus is challenging in end-to-end(E2E) speech recognition. Adaptation by synthesizing audio from text through TTS is resource-consuming. We pres…

cs.CL2023

CIF-PT: Bridging Speech and Text Representations for Spoken Language Understanding via Continuous Integrate-and-Fire Pre-Training

Linhao Dong, Zhecheng An, Peihao Wu +3

Speech or text representation generated by pre-trained models contains modal-specific information that could be combined for benefiting spoken language understanding (SLU) tasks. I…

cs.CL2023

Phonetic and Prosody-aware Self-supervised Learning Approach for Non-native Fluency Scoring

Kaiqi Fu, Shaojun Gao, Shuju Shi +3

Speech fluency/disfluency can be evaluated by analyzing a range of phonetic and prosodic features. Deep neural networks are commonly trained to map fluency-related features into th…

cs.CL2023★ 4 cited

SCM: Enhancing Large Language Model with Self-Controlled Memory Framework

Bing Wang, Xinnian Liang, Jian Yang +6

Large Language Models (LLMs) are constrained by their inability to process lengthy inputs, resulting in the loss of critical historical information. To address this limitation, in…

cs.CL2023

LiteG2P: A fast, light and high accuracy model for grapheme-to-phoneme conversion

Chunfeng Wang, Peisong Huang, Yuxiang Zou +4

As a key component of automated speech recognition (ASR) and the front-end in text-to-speech (TTS), grapheme-to-phoneme (G2P) plays the role of converting letters to their correspo…