https://github.com/georgesterpu/Sigmedia-AVSR
공식 코드Attention-based Audio-Visual Fusion for Robust Automatic Speech Recognition
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/georgesterpu/Taris
공식 코드Learning to Count Words in Fluent Speech enables Online Speech Recognition
https://github.com/getalp/mass-dataset
공식 코드https://github.com/goodmike31/pl-asr-bigos-tools
공식 코드Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for Polish
https://github.com/google-research-datasets/i3-video
공식 코드Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube
https://github.com/google/language-resources
공식 코드https://github.com/google/speaker-id
공식 코드DiarizationLM: Speaker Diarization Post-Processing with Large Language Models
https://github.com/google/speaker-id/tree/master/DiarizationLM
공식 코드DiarizationLM: Speaker Diarization Post-Processing with Large Language Models
https://github.com/googleinterns/deepspeech-reconstruction
공식 코드A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It
https://github.com/googleinterns/learning-bag-of-words
공식 코드https://github.com/gsidiropoulos/passage_retrieval_for_spoken_qa
공식 코드On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering
https://github.com/guozixunnicolas/dent-ddsp
공식 코드https://github.com/guxm2021/MM_ALT
공식 코드https://github.com/guxm2021/alt_speechbrain
공식 코드Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription
https://github.com/gzhu06/Filler-semi-CRF
공식 코드Transcription free filler word detection with Neural semi-CRFs
https://github.com/habla-liaa/encodecmae
공식 코드EnCodecMAE: Leveraging neural codecs for universal audio representation learning
https://github.com/hdvos/euparliamentasrdataandcode
공식 코드Political corpus creation through automatic speech recognition on EU debates
https://github.com/hendrycks/error-detection
공식 코드A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
https://github.com/hfutami/distill-bert-for-seq2seq-asr
공식 코드Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
https://github.com/hirofumi0810/neural_sp
공식 코드https://github.com/hishab-nlp/pseudo-labeling-for-domain-agnostic-bangla-asr
공식 코드Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition
https://github.com/hlt-mt/fbk-fairseq
공식 코드Who Are We Talking About? Handling Person Names in Speech Translation
https://github.com/hltchkust/cantonese-asr
공식 코드Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset
https://github.com/hqsiswiliam/punctuation-restoration-scl
공식 코드Token-Level Supervised Contrastive Learning for Punctuation Restoration
https://github.com/huangruizhe/audio
공식 코드Less Peaky and More Accurate CTC Forced Alignment by Label Priors
https://github.com/huckiyang/speech_quantum_dl
공식 코드https://github.com/hugomalard/big-model-only-for-hard-audios
공식 코드Big model only for hard audios: Sample dependent Whisper model selection for efficient inferences
https://github.com/hyeonsieun/mathspeech
공식 코드MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula
https://github.com/hypotheses-paradise/hypo2trans
공식 코드HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
https://github.com/iclr2023achangeofheart/meld-modality-conversion
공식 코드A Change of Heart: Improving Speech Emotion Recognition through Speech-to-Text Modality Conversion
https://github.com/ictnlp/bt4st
공식 코드Back Translation for Speech-to-text Translation Without Transcripts
https://github.com/ictnlp/streamspeech
공식 코드StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
https://github.com/idiap/atco2-corpus
공식 코드https://github.com/idiap/bert-text-diarization-atc
공식 코드https://github.com/idiap/fast-transformers
공식 코드https://github.com/idiap/icassp-oov-recognition
공식 코드A Comparison of Methods for OOV-word Recognition on a New Public Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.