https://github.com/rongjiehuang/transpeech
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech
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/rufaelfekadu/seq2seq-vc
https://github.com/s3prl/s3prl
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
https://github.com/sam2125/translatotron
Direct speech-to-speech translation with a sequence-to-sequence model
https://github.com/scpark20/universal-music-translation
https://github.com/serp-ai/bark-with-voice-clone
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
https://github.com/sewplay/demos
Effective parameter estimation methods for an ExcitNet model in generative text-to-speech systems
https://github.com/shivammehta25/BetterFastSpeech2
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/shortpoet/Final-Project
https://github.com/smeetrs/deep_avsr
https://github.com/smoke-trees/Voice-synthesis
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/soobinseo/transformer-tts
https://github.com/soumimaiti/speechlmscore_tool
SpeechLMScore: Evaluating speech generation using speech language model
https://github.com/sriharireddypusapati/speech-to-text-wavenet2
https://github.com/stdereka/liverpool-ion-switching
https://github.com/suno-ai/bark
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
https://github.com/supertone-inc/super-monotonic-align
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
https://github.com/swasun/VQ-VAE-Speech
https://github.com/swatsw/isg_official
https://github.com/tarepan/jsss
JSSS: free Japanese speech corpus for summarization and simplification
https://github.com/tartunlp/transformertts
https://github.com/text-to-audio/make-an-audio
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
https://github.com/thethirdwheel/malumagraph
https://github.com/thorwhalen/sla
https://github.com/thorwhalen/slang
https://github.com/thuhcsi/tacotron
https://github.com/tigthor/Voice-Cloning-AI
https://github.com/tuanh123789/AdaSpeech
https://github.com/tugstugi/pytorch-dc-tts
https://github.com/ucsd-dsc-arts/dsc160-final-dsc160-final-group19
https://github.com/ung200/thats-what-obama-said
https://github.com/unilight/seq2seq-vc
https://github.com/vardaan123/ParaNet
https://github.com/vicky-hnk/time-flex
https://github.com/vincentherrmann/pytorch-wavenet
https://github.com/vohoaiviet/voice-vector
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.