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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/SungFeng-Huang/Meta-TTS

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Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech

https://github.com/SymbioticLab/FedScale

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FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

https://github.com/TASER2023/TASER

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ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic Features

https://github.com/TParcollet/Quaternion-Recurrent-Neural-Networks

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Quaternion Recurrent Neural Networks

https://github.com/Telefonica/LambdaNetwork

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Efficient Keyword Spotting by capturing long-range interactions with Temporal Lambda Networks

https://github.com/Tomiinek/Multilingual_Text_to_Speech

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One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech

https://github.com/Trikaldarshi/LASER

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LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks

https://github.com/USC-Melady/Benchmarking_DL_MIMICIII

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Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets

https://github.com/Waffle-Liu/CEA

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Advancing Test-Time Adaptation in Wild Acoustic Test Settings

https://github.com/Waffle-Liu/STRODE

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STRODE: Stochastic Boundary Ordinary Differential Equation

https://github.com/Waino/morfessor-emprune

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Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning

https://github.com/WangHelin1997/SSR-Speech

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SSR-Speech: Towards Stable, Safe and Robust Zero-shot Text-based Speech Editing and Synthesis

https://github.com/WeifeiJin/AudioShield

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Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems

https://github.com/X-LANCE/SLAM-LLM

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An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

https://github.com/XIEXurong/kaldi

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Bayesian Learning for Deep Neural Network Adaptation

https://github.com/XiaoyuBIE1994/DVAE

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Dynamical Variational Autoencoders: A Comprehensive Review

https://github.com/XinyuZhou2000/Spoken_Dialogue

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Towards Joint Modeling of Dialogue Response and Speech Synthesis based on Large Language Model

https://github.com/YiwenShaoStephen/pychain

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PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR

https://github.com/YuanGongND/gopt

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Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessment

https://github.com/ZackHodari/average_prosody

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Using generative modelling to produce varied intonation for speech synthesis

https://github.com/ZackHodari/discrete_intonation

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Perception of prosodic variation for speech synthesis using an unsupervised discrete representation of F0

https://github.com/ZehuaKcrissLi/GTR-Voice

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Articulatory Phonetics Informed Controllable Expressive Speech Synthesis

https://github.com/ZitengWang/nn_mask

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Rank-1 Constrained Multichannel Wiener Filter for Speech Recognition in Noisy Environments

https://github.com/aalto-speech/Topic-identification-for-spontaneous-Finnish-speech

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Topic Identification For Spontaneous Speech: Enriching Audio Features With Embedded Linguistic Information

https://github.com/aalto-speech/fin-parl-models

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Finnish Parliament ASR corpus - Analysis, benchmarks and statistics

https://github.com/aalto-speech/speechbrain-cl

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Comparison and Analysis of New Curriculum Criteria for End-to-End ASR

https://github.com/adacs-project/adacs-project.github.io

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AdaCS: Adaptive Normalization for Enhanced Code-Switching ASR

https://github.com/adobe-research/speaker-identification

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Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models

https://github.com/afsara-ben/speechcache

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Speech Understanding on Tiny Devices with A Learning Cache

https://github.com/ahaliassos/lipforensics

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Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

https://github.com/ahaliassos/raven

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Jointly Learning Visual and Auditory Speech Representations from Raw Data

https://github.com/ahaliassos/usr

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Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs

https://github.com/ahmadikalkhorani/AVCrossNet

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AV-CrossNet: an Audiovisual Complex Spectral Mapping Network for Speech Separation By Leveraging Narrow- and Cross-Band Modeling

https://github.com/ahmedheakl/arazn-llm

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ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs

https://github.com/ahmedshah1494/speech_robust_bench

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Speech Robust Bench: A Robustness Benchmark For Speech Recognition

https://github.com/ai-s2-lab/gpt-talker

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Generative Expressive Conversational Speech Synthesis

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