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Speech Recognition

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하위 태스크: 11
평가표: 236
보존된 평가 기록: 398

Speech Recognition is the task of converting spoken language into text. It involves recognizing the words spoken in an audio recording and transcribing them into a written format. The goal is to accurately transcribe the speech in real-time or from recorded audio, taking into account factors such as accents, speaking speed, and background noise.

<span style="color:grey; opacity: 0.6">( Image credit: SpecAugment )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/NickRuiz/power-asr

공식 코드

Phonetically-Oriented Word Error Alignment for Speech Recognition Error Analysis in Speech Translation

https://github.com/Niger-Volta-LTI/yoruba-adr

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Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language Text

https://github.com/NikolaiKyhne/Detecting-and-Defending-Against-Adversarial-Attacks

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Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion Models

https://github.com/NikolaiKyhne/MambAttention

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MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement

https://github.com/OmarMohammed88/AR-Emotion-Recognition

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Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset

https://github.com/Open-Speech-EkStep/vakyansh-models

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CLSRIL-23: Cross Lingual Speech Representations for Indic Languages

https://github.com/Open-Speech-EkStep/vakyansh-wav2vec2-experimentation

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CLSRIL-23: Cross Lingual Speech Representations for Indic Languages

https://github.com/OrcusCZ/NNAcousticModeling

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Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition Task

https://github.com/OriShapira/ENDow

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Measuring the Effect of Transcription Noise on Downstream Language Understanding Tasks

https://github.com/PaddlePaddle/PaddleSpeech

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Deep Speech: Scaling up end-to-end speech recognition

https://github.com/PaddlePaddle/Parakeet

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WaveFlow: A Compact Flow-based Model for Raw Audio

https://github.com/Pupiera/Growing_tree_on_sound

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Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of Speech

https://github.com/Qatar-Computing-Research-Institute/dialectID

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Automatic Dialect Detection in Arabic Broadcast Speech

https://github.com/ROBOTICSENGINEER/End_to_End_Learning_of_Speech_2D_Feature_Trajectory

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End-to-End Learning of Speech 2D Feature-Trajectory for Prosthetic Hands

https://github.com/RameshaKaru/devi

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DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems

https://github.com/RanyaJumah/PP_Speech_Analysis

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Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants

https://github.com/RaphaelOlivier/asr_transferability

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Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models

https://github.com/Rongjiehuang/FastDiff

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FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis

https://github.com/Rongjiehuang/GenerSpeech

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GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech

https://github.com/Rongjiehuang/ProDiff

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ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech

https://github.com/RuABraun/texterrors

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A Comparison of Methods for OOV-word Recognition on a New Public Dataset

https://github.com/Rudrabha/Lip2Wav

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Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis

https://github.com/SJTUHaiyangYu/BackdoorMBTI

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BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation

https://github.com/SPOClab-ca/BENDR

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BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data

https://github.com/SalemAmeen/raspberry_pi_optimization

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Optimizing Deep Learning Models For Raspberry Pi

https://github.com/ShangHua-Gao/RFNext

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RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks

https://github.com/ShenranTomWang/TTS

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Developing multilingual speech synthesis system for Ojibwe, Mi'kmaq, and Maliseet

https://github.com/SherifAbdulatif/CMGAN

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CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement

https://github.com/ShiningLab/POS-Tagger-for-Punctuation-Restoration

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Incorporating External POS Tagger for Punctuation Restoration

https://github.com/Snowdar/asv-subtools

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Towards A Unified Conformer Structure: from ASR to ASV Task

https://github.com/SoccerNet/sn-echoes

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SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset

https://github.com/SpeechColab/GigaSpeech

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GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

https://github.com/SpeechColab/GigaSpeech2

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GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement

https://github.com/StatNLP/ada4asr

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On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR

https://github.com/StefanoGiacomelli/Vowel_phonemes_Analysis_and_Classification_by_means_of_OCON_rectifiers_Deep_Learning_Architectures

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The OCON model: an old but gold solution for distributable supervised classification

https://github.com/StevenVdEeckt/CGN_CL_Adapters

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Using Adapters to Overcome Catastrophic Forgetting in End-to-End Automatic Speech Recognition

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.