https://github.com/OlaWod/my-fastspeech2
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
Papers with Code 아카이브
Accented Speech Recognition
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/OlaWod/my-tacotron2
https://github.com/OlaWod/my-wavernn
https://github.com/PaddlePaddle/DeepSpeech
https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/vctk/ernie_sat
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
https://github.com/PaddlePaddle/models
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
https://github.com/PeihaoChen/regnet
https://github.com/PhilippeNguyen/keras_wavenet
https://github.com/Picovoice/speech-to-text-benchmark
https://github.com/Picovoice/stt-benchmark
https://github.com/RamsteinWR/wavenet-master
https://github.com/RashadGarayev/TRSpeech-to-text
https://github.com/RayeRen/RayeRen
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/Rayhane-mamah/Tacotron-2
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
https://github.com/RezisEwig/unity_speech
https://github.com/Rongjiehuang/Multiband-WaveRNN
https://github.com/RotemMayo/NAF
https://github.com/RuntimeRacer/rtvc-gcloud
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/Salazar-99/Gravitational-WaveNet
https://github.com/SeanNaren/deepspeech.pytorch
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
https://github.com/SeanNaren/deepspeech.torch
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
https://github.com/SeanPLeary/dc_tts-transfer-learning
https://github.com/SforAiDl/Neural-Voice-Cloning-With-Few-Samples
https://github.com/ShangHua-Gao/G2L-search
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks
https://github.com/ShichengChen/WaveNetSeparateAudio
https://github.com/Shivendra-psc/speechbot
https://github.com/ShotDownDiane/tcn-master
https://github.com/ShuSQ/CCI_AP_PoseLoops
https://github.com/Suhee05/Text-Independent-Speaker-Verification
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/Talk2Levi/DJL
https://github.com/TanUkkii007/wavenet
https://github.com/TartuNLP/deepvoice3_pytorch
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
https://github.com/TensorSpeech/TensorFlowASR
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
https://github.com/TensorSpeech/TensorflowTTS
https://github.com/Text-to-Audio/AudioLCM
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
https://github.com/UnofficialJuliaMirror/DeepMark-deepmark
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.