https://github.com/UnofficialJuliaMirrorSnapshots/DeepMark-deepmark
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Papers with Code 아카이브
Accented Speech Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Vikas-Sony/speech-to-text
https://github.com/WLM1ke/poptimizer
https://github.com/WalterJohnson0/DeepSpeech-KerasRebuild
https://github.com/WelkinYang/GradTTS
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
https://github.com/YuBeomGon/DeepSpeech
https://github.com/YuanPJ/Voice-in-ASR
https://github.com/YuvalBecker/MelNet
MelNet: A Generative Model for Audio in the Frequency Domain
https://github.com/YuvalBecker/MelNet-Tensorflow
MelNet: A Generative Model for Audio in the Frequency Domain
https://github.com/ZTianle/keras-tcn-solar
https://github.com/ZhouYuxuanYX/Wavenet-in-Keras-for-Kaggle-Competition-Web-Traffic-Time-Series-Forecasting
https://github.com/acetylSv/GST-tacotron
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/acids-ircam/diffusion_models
https://github.com/adelacvg/ns2vc
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
https://github.com/adityaagrawal7/speech-to-text-wavenet
https://github.com/adrienchaton/BERGAN
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/ai-unicamp/tts-objective-metrics
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
https://github.com/ai4bharat/indic-tts
Towards Building Text-To-Speech Systems for the Next Billion Users
https://github.com/albarji/neurowriter
https://github.com/albertfgu/diffwave-sashimi
https://github.com/alpharol/Taco_Collection
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/anandaswarup/TTS
https://github.com/anandaswarup/phrase_break_prediction
https://github.com/anandaswarup/rnn-tts
https://github.com/anandaswarup/waveRNN
https://github.com/anandharaju/Basic_TCN
https://github.com/andabi/deep-voice-conversion
https://github.com/andabi/voice-vector
https://github.com/anssssss/Vietnamese-Speech-Recognition
https://github.com/areffarhadi/mamba-asr
https://github.com/as-ideas/TransformerTTS
https://github.com/as-ideas/deepforcedaligner
https://github.com/ashishpatel26/tcn-keras-Examples
https://github.com/atharva7k/mms-code-switching
https://github.com/avi33/universalmelgan
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/avishai111/One-Class-Learning-with-Adaptive-Centroid-Shift-for-Audio-Deepfake-Detection
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.