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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/alfred0622/hypr
공식 코드HypR: A comprehensive study for ASR hypothesis revising with a reference corpus
https://github.com/alibaba-nlp/aishell-ner
공식 코드https://github.com/aliyzd95/shemo-modification
공식 코드https://github.com/amazon-research/contextual-attention-nlm
공식 코드Attention-based Contextual Language Model Adaptation for Speech Recognition
https://github.com/amazon-science/amazon-od3
공식 코드Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition
https://github.com/amritkromana/disfluency_detection_from_audio
공식 코드https://github.com/andrespimartin/weighted-x-entropy-asr
공식 코드Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition
https://github.com/andybi7676/reborn-uasr
공식 코드REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
https://github.com/anicolson/DeepXi
공식 코드Deep Xi as a Front-End for Robust Automatic Speech Recognition
https://github.com/anicolson/SPN-ASI
공식 코드Sum-Product Networks for Robust Automatic Speaker Identification
https://github.com/ankitapasad/layerwise-analysis
공식 코드Layer-wise Analysis of a Self-supervised Speech Representation Model
https://github.com/anshulranjan2004/pyhmm
공식 코드Hybrid ASR for Resource-Constrained Robots: HMM - Deep Learning Fusion
https://github.com/anton-jeran/FAST-RIR
공식 코드FAST-RIR: Fast neural diffuse room impulse response generator
https://github.com/archiki/Robust-E2E-ASR
공식 코드An Investigation of End-to-End Models for Robust Speech Recognition
https://github.com/asappresearch/sew
공식 코드Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
https://github.com/asappresearch/slue-toolkit
공식 코드SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech
https://github.com/asappresearch/wav2seq
공식 코드Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages
https://github.com/atharva7k/mms-code-switching
공식 코드Adapting the adapters for code-switching in multilingual ASR
https://github.com/audiollms/singlish
공식 코드Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models
https://github.com/augmented-human-lab/interspeech25_speechtherapy
공식 코드Towards Temporally Explainable Dysarthric Speech Clarity Assessment
https://github.com/augustgw/early-exit-transformer
공식 코드https://github.com/aws-samples/seq2seq-asr-misbehaves
공식 코드Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances
https://github.com/ayushayt/imaginedspeechrecognition
공식 코드Analysis of EEG frequency bands for Envisioned Speech Recognition
https://github.com/balaji1312/chser
공식 코드CHSER: A Dataset and Case Study on Generative Speech Error Correction for Child ASR
https://github.com/balaji1312/sa_merging
공식 코드Selective Attention Merging for low resource tasks: A case study of Child ASR
https://github.com/bartelds/asr-augmentation
공식 코드https://github.com/bbc/bbc-speech-segmenter
공식 코드X-Vector based voice activity detection for multi-genre broadcast speech-to-text
https://github.com/beer-asr/beer
공식 코드Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic Units
https://github.com/bepierre/SpeechVGG
공식 코드Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing
https://github.com/besacier/AMMIcourse
공식 코드Fast Development of ASR in African Languages using Self Supervised Speech Representation Learning
https://github.com/boknilev/asr-repr-analysis
공식 코드Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems
https://github.com/bolajiy/golden-retriever
공식 코드End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations
https://github.com/bonaventuredossou/active_learning_african_asr
공식 코드https://github.com/bpopeters/mg2p
공식 코드Massively Multilingual Neural Grapheme-to-Phoneme Conversion
https://github.com/briansidp/espnet
공식 코드Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer Generator
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