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Audio-Visual Speech Recognition
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Audio-visual speech recognition is the task of transcribing a paired audio and visual stream into text.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts
공식 코드A Practical Guide to Logical Access Voice Presentation Attack Detection
https://github.com/nii-yamagishilab/self-attention-tacotron
공식 코드https://github.com/nsmq-ai/nsmqai
공식 코드Towards an AI to Win Ghana's National Science and Maths Quiz
https://github.com/ogunlao/glowtts_stdp
공식 코드Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTS
https://github.com/open-mmlab/Amphion/blob/main/preprocessors/Emilia/README.md
공식 코드Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation
https://github.com/open-mmlab/amphion
공식 코드MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer
https://github.com/paarthneekhara/advoc
공식 코드https://github.com/papercup-open-source/phonological-features
공식 코드Phonological Features for 0-shot Multilingual Speech Synthesis
https://github.com/parthvshah/naturalization
공식 코드Naturalization of Text by the Insertion of Pauses and Filler Words
https://github.com/pedrodke/libris2s
공식 코드LibriS2S: A German-English Speech-to-Speech Translation Corpus
https://github.com/popcornell/ASRLightningFT
공식 코드Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognition
https://github.com/pytorch/fairseq
공식 코드fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
https://github.com/r9y9/wavenet_vocoder
공식 코드ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit
https://github.com/rendchevi/nix-tts
공식 코드Nix-TTS: Lightweight and End-to-End Text-to-Speech via Module-wise Distillation
https://github.com/renqianluo/SemiNAS
공식 코드https://github.com/reseval/reseval
공식 코드https://github.com/roatienza/efficientspeech
공식 코드https://github.com/rohan-chaudhury/humane-speech-synthesis-through-zero-shot-emotion-and-disfluency-generation
공식 코드Humane Speech Synthesis through Zero-Shot Emotion and Disfluency Generation
https://github.com/roholazandie/ryan-tts
공식 코드RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis
https://github.com/roudimit/whisper-flamingo
공식 코드https://github.com/rwsproat/text-normalization-data
공식 코드https://github.com/rwth-i6/returnn-experiments
공식 코드Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems
https://github.com/sail-sg/mmcbench
공식 코드Benchmarking Large Multimodal Models against Common Corruptions
https://github.com/sarulab-speech/saslaw
공식 코드https://github.com/sbu-dsl/prosody-analysis-of-audiobooks
공식 코드https://github.com/sciforce/phones-las
공식 코드https://github.com/seongho608/ringformer
공식 코드RingFormer: A Neural Vocoder with Ring Attention and Convolution-Augmented Transformer
https://github.com/sh-lee-prml/hierspeechpp
공식 코드https://github.com/sh-lee-prml/periodwave
공식 코드PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation
https://github.com/shark-nlp/attentivemlp
공식 코드Attentive Multi-Layer Perceptron for Non-autoregressive Generation
https://github.com/shinhyeokoh/rwen
공식 코드RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech Synthesis
https://github.com/shivammehta25/OverFlow
공식 코드OverFlow: Putting flows on top of neural transducers for better TTS
https://github.com/sislab-unitn/Let-s-Give-a-Voice-to-Conversational-Agents-in-VR
공식 코드Let's Give a Voice to Conversational Agents in Virtual Reality
https://github.com/soham97/pam
공식 코드PAM: Prompting Audio-Language Models for Audio Quality Assessment
https://github.com/sony/ai-research-code
공식 코드Towards Robust FastSpeech 2 by Modelling Residual Multimodality
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