https://github.com/haoheliu/audioldm-training-finetuning
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining
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/hazdzz/BGU
https://github.com/hcy71o/autovocoder
https://github.com/heatz123/naturalspeech
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
https://github.com/hhguo/msmc-tts
https://github.com/howard1337/S2VC
https://github.com/huggingface/dataspeech
Natural language guidance of high-fidelity text-to-speech with synthetic annotations
https://github.com/huggingface/parler-tts
Natural language guidance of high-fidelity text-to-speech with synthetic annotations
https://github.com/huseinzol05/malaya-speech
https://github.com/iamjanvijay/rnnt_decoder_cuda
https://github.com/ibab/tensorflow-wavenet
https://github.com/imdatsolak/wavenet
https://github.com/inconnu11/Objective-evaluation_speech_synthesis
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data
https://github.com/isadrtdinov/wavenet
https://github.com/izzajalandoni/tts_models
https://github.com/jackaduma/CycleGAN-VC2
https://github.com/jacksonkaunismaa/neural-music
MelNet: A Generative Model for Audio in the Frequency Domain
https://github.com/jaejunl/hyface
LRS3-TED: a large-scale dataset for visual speech recognition
https://github.com/jasminsternkopf/mel_cepstral_distance
VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop
https://github.com/jefflai108/ASSERT
ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks
https://github.com/jessearodriguez/LJ-Audio-dataset-generator
https://github.com/jkyunnng/happyquokka_system_for_eeg_challenge
https://github.com/johnathanchiu/audio-upsampling
https://github.com/joselyn-rodriguez/s3prl
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
https://github.com/kaiidams/soundstream-pytorch
https://github.com/kaiidams/voice100
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
https://github.com/kaiidams/voice100-tts
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
https://github.com/karpathy/makemore
https://github.com/kdaip/stabletts
https://github.com/keithito/tacotron
https://github.com/kensun0/Parallel-Wavenet
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
https://github.com/keonlee9420/Comprehensive-E2E-TTS
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/keonlee9420/Comprehensive-Tacotron2
https://github.com/keonlee9420/Comprehensive-Transformer-TTS
https://github.com/keonlee9420/Cross-Speaker-Emotion-Transfer
https://github.com/keonlee9420/DiffGAN-TTS
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.