https://github.com/edward-martyr/shanghainese-tts
공식 코드Improving TTS for Shanghainese: Addressing Tone Sandhi via Word Segmentation
Papers with Code 아카이브
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/espnet/espnet
공식 코드ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit
https://github.com/espnet/espnet/tree/master/egs2/qasr_tts/tts1
공식 코드Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study
https://github.com/exgc/opensr
공식 코드OpenSR: Open-Modality Speech Recognition via Maintaining Multi-Modality Alignment
https://github.com/f90/jamendolyrics
공식 코드End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model
https://github.com/facebookresearch/av_hubert
공식 코드https://github.com/facebookresearch/llama-hd-dataset
공식 코드https://github.com/facebookresearch/loop
공식 코드VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop
https://github.com/facebookresearch/muavic
공식 코드https://github.com/facebookresearch/seamless_communication
공식 코드SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
https://github.com/facebookresearch/wav2letter/tree/master/recipes/mls
공식 코드https://github.com/funaudiollm/cosyvoice
공식 코드https://github.com/funaudiollm/cv3-eval
공식 코드https://github.com/g-milis/NEUTART
공식 코드https://github.com/gabrielmittag/NISQA
공식 코드Deep Learning Based Assessment of Synthetic Speech Naturalness
https://github.com/galaxycong/hpmdubbing
공식 코드https://github.com/georgesterpu/Sigmedia-AVSR
공식 코드How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition
https://github.com/georgesterpu/Taris
공식 코드https://github.com/getalp/mass-dataset
공식 코드https://github.com/gokulkarthik/text2speech
공식 코드Towards Building Text-To-Speech Systems for the Next Billion Users
https://github.com/google-research-datasets/common-crawl-domain-names
공식 코드https://github.com/google/language-resources
공식 코드https://github.com/google/sequence-layers/blob/main/examples/very_attentive_tacotron.py
공식 코드Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech
https://github.com/guirobotron/guirobotron-speech
공식 코드GUIRoboTron-Speech: Towards Automated GUI Agents Based on Speech Instructions
https://github.com/haoheliu/AudioLDM2
공식 코드AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining
https://github.com/haoweilou/StyleSpeech_Public
공식 코드StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech
https://github.com/hbwu-ntu/emoctrltts-eval
공식 코드https://github.com/hieuthi/llamapartialspoof
공식 코드LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation
https://github.com/hltchkust/ci-avsr
공식 코드CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command Recognition
https://github.com/hs-oh-prml/durflexevc
공식 코드https://github.com/hsoh0306/diffprosody
공식 코드https://github.com/huawei-noah/Speech-Backbones
공식 코드Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
https://github.com/humanmllm/cogenav
공식 코드CoGenAV: Versatile Audio-Visual Representation Learning via Contrastive-Generative Synchronization
https://github.com/hyeonsieun/mathreader
공식 코드https://github.com/hyllll/vcrs
공식 코드https://github.com/iamanigeeit/present
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.