Papers with Code 아카이브

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/lucasondel/markovmodels.jl

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Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model

https://github.com/luferrer/DCA-PLDA

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A Discriminative Hierarchical PLDA-based Model for Spoken Language Recognition

https://github.com/lukasc-ch/ExtendedBitPlaneCompression

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EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators

https://github.com/lumia-group/leveraging-self-supervised-learning-for-avsr

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Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition

https://github.com/luotianze666/wavefm

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WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow Matching

https://github.com/lwang114/graphunsupasr

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Unsupervised Speech Recognition with N-Skipgram and Positional Unigram Matching

https://github.com/lwang114/unsuptts

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Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition

https://github.com/lxchtan/omnidrca

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OmniDRCA: Parallel Speech-Text Foundation Model via Dual-Resolution Speech Representations and Contrastive Alignment

https://github.com/lxy-peter/efficientpunct

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Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network

https://github.com/m-bain/whisperx

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OxfordVGG Submission to the EGO4D AV Transcription Challenge

https://github.com/m-pana/spk_anon_nac_lm

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Preserving spoken content in voice anonymisation with character-level vocoder conditioning

https://github.com/m-r-s/fade

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DARF: A data-reduced FADE version for simulations of speech recognition thresholds with real hearing aids

https://github.com/madhavlab/2023_teles_wlc

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TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASR

https://github.com/maetshju/absement_in_detail_code

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Acoustic absement in detail: Quantifying acoustic differences across time-series representations of speech data

https://github.com/magcil/grethe

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A Dataset for Speech Emotion Recognition in Greek Theatrical Plays

https://github.com/magenta/mt3

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MT3: Multi-Task Multitrack Music Transcription

https://github.com/mahsabazzaz/level-completabilty-x-active-learning

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Active Learning for Classifying 2D Grid-Based Level Completability

https://github.com/maitrix-org/voila

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Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play

https://github.com/makcedward/nlpaug

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Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts

https://github.com/manishdhakal/asr-nepali-using-cnn-bilstm-resnet

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Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNet

https://github.com/maorienglish-codeswitch/vowel_classification

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Explaining Spectrograms in Machine Learning: A Study on Neural Networks for Speech Classification

https://github.com/marcelosancinetti/epa-gop-pykaldi

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A transfer learning based approach for pronunciation scoring

https://github.com/marekkubis/bteval

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Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors

https://github.com/marianne-m/brouhaha-vad

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Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation

https://github.com/mariegold/np-attack

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Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition

https://github.com/mariganeshkumar/TDSNN-spoof-detection

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Spoof detection using time-delay shallow neural network and feature switching

https://github.com/massabaali7/AR_Dysarthric

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Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation

https://github.com/massabaali7/speech_parallel_corpus

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Creating Speech-to-Speech Corpus from Dubbed Series

https://github.com/matiuste/distriblock

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DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution

https://github.com/matthewcym/voicebench

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VoiceBench: Benchmarking LLM-Based Voice Assistants

https://github.com/maxlchen/Speech-PreFinetuning

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Pre-Finetuning for Few-Shot Emotional Speech Recognition

https://github.com/maxrmorrison/torbi

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Fine-Grained and Interpretable Neural Speech Editing

https://github.com/maxtimer97/ssm-inspired-lif

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Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks

https://github.com/may-/joeys2t

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JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT

https://github.com/mbinkowski/DeepSpeechDistances

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High Fidelity Speech Synthesis with Adversarial Networks

https://github.com/mbzuai-nlp/artst

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ArTST: Arabic Text and Speech Transformer

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