https://github.com/turinaf/sagalee
공식 코드Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo Language
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/tushartalukder/bengali-asr-model-using-wav2vec2
공식 코드An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer Learning
https://github.com/tzyll/ChineseHP
공식 코드Pinyin Regularization in Error Correction for Chinese Speech Recognition with Large Language Models
https://github.com/ubc-nlp/l2asr
공식 코드https://github.com/uhh-lt/kaldi-tuda-de
공식 코드https://github.com/umbertocappellazzo/llama-avsr
공식 코드Large Language Models are Strong Audio-Visual Speech Recognition Learners
https://github.com/uwjunqi/Subrank
공식 코드Unsupervised Submodular Rank Aggregation on Score-based Permutations
https://github.com/v-iashin/MDVC
공식 코드https://github.com/vineet2104/adversarialtrainingfordisfluencycorrection
공식 코드https://github.com/vineet2104/disco
공식 코드DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages
https://github.com/vita-mllm/vita-audio
공식 코드VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model
https://github.com/vivivic/speech-domain-adaptation-DRL
공식 코드https://github.com/voidism/NAR-ST
공식 코드https://github.com/w-wu/steer
공식 코드Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations
https://github.com/wangfangyuan/SChunk-Encoder
공식 코드Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASR
https://github.com/wangyu09/exkaldi-rt
공식 코드ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi
https://github.com/wannaphong/thai_commonvoice_dataset
공식 코드https://github.com/warmcongee/sdumc
공식 코드https://github.com/weizou52/robustness_analysis_asr
공식 코드Analyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition
https://github.com/world1tree/SpeechTranslationRefinement
공식 코드https://github.com/wutong8023/speechre
공식 코드https://github.com/xcyu-0903/rose
공식 코드https://github.com/xianchao-wu/wenet-deep-sparse-conformer
공식 코드https://github.com/xllyu-nlp/docia
공식 코드DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation
https://github.com/yajiemiao/eesen
공식 코드EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding
https://github.com/yan-gao-GY/Flower-SpeechBrain
공식 코드End-to-End Speech Recognition from Federated Acoustic Models
https://github.com/yan-gao-GY/Muti-teacherKD
공식 코드https://github.com/yandex-research/msr
공식 코드https://github.com/yangjingyuan/constdecoder
공식 코드ASR Error Correction with Constrained Decoding on Operation Prediction
https://github.com/yaoming95/unipunc
공식 코드Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus
https://github.com/yaq007/cleverhans/tree/master/examples/adversarial_asr
공식 코드Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
https://github.com/yc-li20/SER-on-WER-and-Fusion
공식 코드https://github.com/yc-li20/emotion-prompt
공식 코드https://github.com/yc9701/pansori-tedxkr-corpus
공식 코드Pansori: ASR Corpus Generation from Open Online Video Contents
https://github.com/yctam/dstc10_track2_task2
공식 코드Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors
https://github.com/yosukehiguchi/espnet
공식 코드Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.