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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/Choddeok/EmoSpherepp

공식 코드

EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector

https://github.com/ClovaAI/ClovaCall

공식 코드

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers

https://github.com/ConsistencyVC/ConsistencyVC-voive-conversion

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Using joint training speaker encoder with consistency loss to achieve cross-lingual voice conversion and expressive voice conversion

https://github.com/CoraJung/flexible-input-slu

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Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputs

https://github.com/D-Keqi/LS-Transducer-SST

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Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation

https://github.com/D-X-Y/Awesome-AutoDL

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Automated Deep Learning: Neural Architecture Search Is Not the End

https://github.com/Daftstone/Random-Directional-Attack

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Random Directional Attack for Fooling Deep Neural Networks

https://github.com/DanchengLiu/FASA

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FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech Data

https://github.com/DannyMerkx/speech2image

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Language learning using Speech to Image retrieval

https://github.com/DeepGesture/DeepGesture-Unity

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DeepGesture: A conversational gesture synthesis system based on emotions and semantics

https://github.com/Dekelv/ProsodicFeatureExtraction

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Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction

https://github.com/Derek-Gong/hsoftmax

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Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition

https://github.com/DeutscheKI/tevr-asr-tool

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TEVR: Improving Speech Recognition by Token Entropy Variance Reduction

https://github.com/ETZET/SpeechEmotionAVLearning

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Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech

https://github.com/Edresson/TTS-Portuguese-Corpus

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TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese

https://github.com/EgorLakomkin/KTSpeechCrawler

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KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos

https://github.com/Emotional-Text-to-Speech/dl-for-emo-tts

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Exploring Transfer Learning for Low Resource Emotional TTS

https://github.com/EncryptedBinary/BanglaDialecto

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BanglaDialecto: An End-to-End AI-Powered Regional Speech Standardization

https://github.com/FangyunWei/SLRT

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CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning

https://github.com/Fengdalu/learn-an-effective-lip-reading-model-without-pains

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Learn an Effective Lip Reading Model without Pains

https://github.com/Fraunhofer-AISEC/towards-resistant-audio-adversarial-examples

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Towards Resistant Audio Adversarial Examples

https://github.com/Fraunhofer-AISEC/towards_resistant_audio_adversarial_examples

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Towards Resistant Audio Adversarial Examples

https://github.com/FunAudioLLM/SenseVoice

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FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs

https://github.com/GavinGuan95/Punctuator.Pytorch

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End to End ASR System with Automatic Punctuation Insertion

https://github.com/GenerateAI/LibriCrowd

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Human Transcription Quality Improvement

https://github.com/GeorgeEfstathiadis/LLM-Diarize-ASR-Agnostic

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LLM-based speaker diarization correction: A generalizable approach

https://github.com/GorkaAbad/Sneaky-Spikes

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Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data

https://github.com/HPI-DeepLearning/crnn-lid

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Language Identification Using Deep Convolutional Recurrent Neural Networks

https://github.com/HSE-LAMBDA/roerich

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Online Neural Networks for Change-Point Detection

https://github.com/HazyResearch/butterfly

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Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps

https://github.com/HazyResearch/learning-circuits

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Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps

https://github.com/HearingTechnology/CoNNear_cochlea

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A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications

https://github.com/HuSTeP-Human-Speech-Text-Processing-Lab/XLSR-GRKAN-Conformer

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Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models

https://github.com/Hyeongmin-Cho/Efficient-Data-Quality-Measures-for-High-Dimensional-Classification-Data

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Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional Data

https://github.com/IBM/BigLittleNet

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Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition

https://github.com/IS2AI/ISSAI_SAIDA_Kazakh_ASR

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A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline

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