Papers with Code 아카이브
Audio-Visual Speech Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/plachtaa/vall-e-x
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
https://github.com/playvoice/grad-svc
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
https://github.com/prijatelj/crowd_noise
https://github.com/pswietojanski/slurp
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
https://github.com/pwc-1/Paper-10/tree/main/seamless_m4t
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
https://github.com/r9y9/deepvoice3_pytorch
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
https://github.com/r9y9/gantts
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/r9y9/icassp2020-espnet-tts-merlin-baseline
ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit
https://github.com/r9y9/tacotron_pytorch
https://github.com/r9y9/wavenet
https://github.com/racai-ai/ROBINDialog
Tools and resources for Romanian text-to-speech and speech-to-text applications
https://github.com/racai-ai/TEPROLIN
Tools and resources for Romanian text-to-speech and speech-to-text applications
https://github.com/racai-ai/srla
Tools and resources for Romanian text-to-speech and speech-to-text applications
https://github.com/racai-ai/ssla
Tools and resources for Romanian text-to-speech and speech-to-text applications
https://github.com/racinmat/lecture-generator
https://github.com/rampage644/wavenet
https://github.com/randomrandom/deep-atrous-cnn-sentiment
https://github.com/rarefin/TTS_VAE
Hierarchical Generative Modeling for Controllable Speech Synthesis
https://github.com/revsic/tf-glow-tts
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
https://github.com/rhoposit/MOS_Estimation
https://github.com/rhoposit/MOS_Estimation2
https://github.com/rickyHong/ClariNet-WaveNet-repl
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
https://github.com/rickyHong/GAN-TTS-repl2
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/rickyHong/GANTTS-update-repl
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/rickyHong/gantts-update-repl2
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
https://github.com/rishikksh20/AdaSpeech
https://github.com/rishikksh20/AdaSpeech2
AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data
https://github.com/rishikksh20/FastSpeech2
https://github.com/rishikksh20/LightSpeech
https://github.com/rishikksh20/TalkNet2-pytorch
https://github.com/rishikksh20/UnivNet-pytorch
https://github.com/rishikksh20/Zero-Shot-TTS
Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
https://github.com/rishikksh20/iSTFTNet-pytorch
https://github.com/roedoejet/fastspeech2
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/roedoejet/fastspeech2_acl2022_reproducibility
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.