https://github.com/digitalphonetics/speaker-anonymization
공식 코드Speaker Anonymization with Phonetic Intermediate Representations
Papers with Code 아카이브
Automatic Speech Recognition (ASR)
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Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dreamtheater123/awesome-speechlm-survey
공식 코드https://github.com/drumpt/sgem
공식 코드https://github.com/duyichao/e2e-st-tda
공식 코드Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement
https://github.com/edresson/wav2vec-wrapper
공식 코드https://github.com/edunlp/nemo-multistage-classroom-diarization
공식 코드https://github.com/efeslab/liteasr
공식 코드LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation
https://github.com/emonosuke/emoasr
공식 코드Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM
https://github.com/espnet/espnet
공식 코드https://github.com/espnet/espnet/tree/master/egs/mgb2/asr1
공식 코드Arabic Speech Recognition by End-to-End, Modular Systems and Human
https://github.com/espnet/espnet/tree/master/egs2/qasr_tts/tts1
공식 코드Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study
https://github.com/esyoon7/litta
공식 코드LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition
https://github.com/ewaldvdw/kaldi/tree/mbnf_cs2020/egs/nchlt_multi_bnfs/s5
공식 코드https://github.com/facebookresearch/CPC_audio
공식 코드https://github.com/facebookresearch/av_hubert
공식 코드https://github.com/facebookresearch/emg2qwerty
공식 코드emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
https://github.com/facebookresearch/fairseq
공식 코드https://github.com/facebookresearch/gtn_applications/blob/main/criterions/stc.py
공식 코드Star Temporal Classification: Sequence Classification with Partially Labeled Data
https://github.com/facebookresearch/learning-audio-visual-dereverberation
공식 코드https://github.com/facebookresearch/rlr-audio-propagation
공식 코드SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
https://github.com/facebookresearch/sound-spaces
공식 코드SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
https://github.com/facebookresearch/stopes
공식 코드BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric
https://github.com/facebookresearch/wav2letter/tree/master/recipes/ipl
공식 코드https://github.com/facebookresearch/wav2letter/tree/master/recipes/mls
공식 코드https://github.com/facebookresearch/wav2letter/tree/master/recipes/rasr
공식 코드https://github.com/fauxneticien/qbe-std_feats_eval
공식 코드https://github.com/festivalhopper/swiss-parliaments-corpus-paper
공식 코드https://github.com/fgnt/pb_chime5
공식 코드https://github.com/fireredteam/fireredasr
공식 코드https://github.com/formiel/fairseq
공식 코드Lightweight Adapter Tuning for Multilingual Speech Translation
https://github.com/formiel/fairseq/blob/master/examples/speech_to_text/docs/adapters.md
공식 코드Lightweight Adapter Tuning for Multilingual Speech Translation
https://github.com/formiel/speech-translation
공식 코드Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
https://github.com/freewym/espresso
공식 코드Espresso: A Fast End-to-end Neural Speech Recognition Toolkit
https://github.com/g8a9/multilingual-asr-gender-gap
공식 코드Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps
https://github.com/gatech-eic/s3-router
공식 코드https://github.com/gengxuelong/wenet_LLM_from_ASLP
공식 코드Unveiling the Potential of LLM-Based ASR on Chinese Open-Source Datasets
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.