https://github.com/mt-upc/shas
공식 코드SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
Papers with Code 아카이브
Speech-to-Text Translation
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Translate audio signals of speech in one language into text in a foreign language, either in an end-to-end or cascade manner.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mt-upc/zeroswot
공식 코드Pushing the Limits of Zero-shot End-to-End Speech Translation
https://github.com/nethermanpro/comsl
공식 코드ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
https://github.com/nobel861017/cs_zs_baseline
공식 코드https://github.com/openaudiolab/llast
공식 코드LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models
https://github.com/orevaahia/yorulect
공식 코드Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects
https://github.com/osu-starlab/beavertalk
공식 코드BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System
https://github.com/osu-starlab/leapformer
공식 코드https://github.com/owaski/waco
공식 코드WACO: Word-Aligned Contrastive Learning for Speech Translation
https://github.com/pedrodke/libris2s
공식 코드LibriS2S: A German-English Speech-to-Speech Translation Corpus
https://github.com/pytorch/fairseq
공식 코드https://github.com/pytorch/fairseq/tree/master/examples/speech_to_text
공식 코드https://github.com/reneeye/const
공식 코드https://github.com/sarapapi/fbk-fairseq
공식 코드Speechformer: Reducing Information Loss in Direct Speech Translation
https://github.com/softsys4ai/FlexiBO
공식 코드FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks
https://github.com/sophiayk20/covoswitch
공식 코드CoVoSwitch: Machine Translation of Synthetic Code-Switched Text Based on Intonation Units
https://github.com/voidism/NAR-ST
공식 코드https://github.com/zurichnlp/window_audio_segmentation
공식 코드Don't Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation
https://github.com/0xSameer/ast
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation
https://github.com/PaddlePaddle/DeepSpeech
https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/vctk/ernie_sat
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
https://github.com/alibaba-damo-academy/funcodec
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
https://github.com/alicank/Translation-Augmented-LibriSpeech-Corpus
https://github.com/hubreb/imitkd_ast
CoVoST 2 and Massively Multilingual Speech-to-Text Translation
https://github.com/huggingface/transformers
https://github.com/kabongosalomon/listra
Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding
https://github.com/makcedward/nlpaug
Infusing Future Information into Monotonic Attention Through Language Models
https://github.com/modelscope/FunCodec
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
https://github.com/mt-upc/iwslt-2022
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
https://github.com/pr0mila/MediBeng-Whisper-Tiny
https://github.com/pwc-1/Paper-10/tree/main/seamless_m4t
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
https://github.com/pwc-1/Paper-10/tree/main/speech_to_text
https://github.com/richardbaihe/a3t
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
https://github.com/sam2125/translatotron
Direct speech-to-speech translation with a sequence-to-sequence model
https://github.com/yangyucheng000/University/tree/main/model-3/seamless_m4t
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
https://github.com/yangyucheng000/University/tree/main/model-3/speech_to_text
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.