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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/sujeetnlp/vedavani

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Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit Poetry

https://github.com/sumansamui/small-footprint-keyword-spotting

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Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms

https://github.com/sumn2u/neuralnetwork-jpeg

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Convolutional Neural Network (CNN) to reduce construction loss in JPEG compression caused by Discrete Fourier Transform (DFT)

https://github.com/sungnyun/avsr-temporal-dynamics

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Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition

https://github.com/sungnyun/cav2vec

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Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation

https://github.com/sunits/Reverberated_WSJ_2MIX

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Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition

https://github.com/sunpengfei1122/DMU

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Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate

https://github.com/swagshaw/xlsr-mamba

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XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection

https://github.com/syfengcuhk/jasmin

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Quantifying Bias in Automatic Speech Recognition

https://github.com/synxlin/deep-gradient-compression

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Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

https://github.com/syoung7388/ccl

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Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding

https://github.com/taehokim20/cprune

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CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution

https://github.com/takatomokano/ted_summary

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Attention-based Multi-hypothesis Fusion for Speech Summarization

https://github.com/taoruijie/seanet

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Audio-Visual Target Speaker Extraction with Reverse Selective Auditory Attention

https://github.com/tatban/Spectron

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Spectron: Target Speaker Extraction using Conditional Transformer with Adversarial Refinement

https://github.com/tbenst/silent_speech

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A Cross-Modal Approach to Silent Speech with LLM-Enhanced Recognition

https://github.com/teganmaharaj/zoneout

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Generalizing in the Real World with Representation Learning

https://github.com/tejas1995/MultimodalASR

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Fine-Grained Grounding for Multimodal Speech Recognition

https://github.com/tencent-ailab/3m-asr

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3M: Multi-loss, Multi-path and Multi-level Neural Networks for speech recognition

https://github.com/tencent-ailab/bddm

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BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis

https://github.com/tensorflow/lingvo

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Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

https://github.com/tfiedlerdev/wav2vec2forbrain

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Teaching Wav2Vec2 the Language of the Brain

https://github.com/thaisonngn/pynn/tree/memory/pynn

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Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition

https://github.com/theodorblackbird/lina-speech

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Small-E: Small Language Model with Linear Attention for Efficient Speech Synthesis

https://github.com/thu-spmi/ST-NAS

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Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients

https://github.com/thu-spmi/cat

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CAT: CRF-based ASR Toolkit

https://github.com/thudm/glm-4-voice

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GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot

https://github.com/thuhcsi/contextual-biasing-dataset

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CB-Conformer: Contextual biasing Conformer for biased word recognition

https://github.com/thuhcsi/speechcraft

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SpeechCraft: A Fine-grained Expressive Speech Dataset with Natural Language Description

https://github.com/thunlp/readin

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READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises

https://github.com/thvnvtos/snn-delays

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Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings

https://github.com/tianduowang/speech-bt

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From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition

https://github.com/tiberiu44/TTS-Cube

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Generative Adversarial Training for Text-to-Speech Synthesis Based on Raw Phonetic Input and Explicit Prosody Modelling

https://github.com/tk-rusch/lem

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Long Expressive Memory for Sequence Modeling

https://github.com/tkc-morita/ZeroSpeech2020_TTSwoT

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Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020)

https://github.com/tobiasvanderwerff/master-thesis

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Writer adaptation for offline text recognition: An exploration of neural network-based methods

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