Simultaneous Speech-to-Text Translation Web Application for Estonian (2026.eacl-demo)
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| Challenge: | a new open-source web application for simultaneous speech-to-text translation is developed for Estonian . the system translates live Estonian speech into English, Russian, and Ukrainian text, and also supports English-to Estonian translation. |
| Approach: | They propose a web application that combines streaming speech recognition with a simultaneous translation model. |
| Outcome: | The proposed system outperforms existing streaming speech recognition systems in Estonian-to-English translation. |
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| Challenge: | Speech translation is the translation of speech in one language typically to text in another, traditionally accomplished through a combination of automatic speech recognition and machine translation. |
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| Challenge: | Existing simultaneous translation methods focus on text-to-text and speech-totext translation. |
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| Challenge: | Current approaches to simultaneous speech-to-speech translation accumulate more and more latencies in later sentences when the speaker talks faster. |
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Simultaneous Translation (2020.emnlp-tutorials)
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Direct Segmentation Models for Streaming Speech Translation (2020.emnlp-main)
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Javier Iranzo-Sánchez, Adrià Giménez Pastor, Joan Albert Silvestre-Cerdà, Pau Baquero-Arnal, Jorge Civera Saiz, Alfons Juan
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AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation (2023.acl-long)
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Rongjie Huang, Huadai Liu, Xize Cheng, Yi Ren, Linjun Li, Zhenhui Ye, Jinzheng He, Lichao Zhang, Jinglin Liu, Xiang Yin, Zhou Zhao
| Challenge: | Existing models for speech-to-speech translation suffer from distinct degradation in noisy environments and fail to translate visual speech. |
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