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20232025
most citedA Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translation

6 citations · 9 across the 12 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CL2024

Overcoming Non-monotonicity in Transducer-based Streaming Generation

Zhengrui Ma, Yang Feng, Min Zhang

Streaming generation models are utilized across fields, with the Transducer architecture being popular in industrial applications. However, its input-synchronous decoding mechanism…

cs.CL2024

Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language Models

Shoutao Guo, Shaolei Zhang, Zhengrui Ma +2

Simultaneous Machine Translation (SiMT) generates target translations while reading the source sentence. It relies on a policy to determine the optimal timing for reading sentences…

cs.CL2024

CTC-based Non-autoregressive Textless Speech-to-Speech Translation

Qingkai Fang, Zhengrui Ma, Yan Zhou +2

Direct speech-to-speech translation (S2ST) has achieved impressive translation quality, but it often faces the challenge of slow decoding due to the considerable length of speech s…

cs.CL2024

Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?

Qingkai Fang, Shaolei Zhang, Zhengrui Ma +2

Recently proposed two-pass direct speech-to-speech translation (S2ST) models decompose the task into speech-to-text translation (S2TT) and text-to-speech (TTS) within an end-to-end…

cs.CL2024

StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning

Shaolei Zhang, Qingkai Fang, Shoutao Guo +3

Simultaneous speech-to-speech translation (Simul-S2ST, a.k.a streaming speech translation) outputs target speech while receiving streaming speech inputs, which is critical for real…

cs.CL2024★ 6 cited

A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Speech Translation

Zhengrui Ma, Qingkai Fang, Shaolei Zhang +3

Simultaneous translation models play a crucial role in facilitating communication. However, existing research primarily focuses on text-to-text or speech-to-text models, necessitat…

cs.CL2024★ 2 cited

SiLLM: Large Language Models for Simultaneous Machine Translation

Shoutao Guo, Shaolei Zhang, Zhengrui Ma +2

Simultaneous Machine Translation (SiMT) generates translations while reading the source sentence, necessitating a policy to determine the optimal timing for reading and generating…