Topic: multi-speaker Goto Github
Some thing interesting about multi-speaker
Some thing interesting about multi-speaker
multi-speaker,Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
User: aishoot
multi-speaker,This is the official implementation of our multi-channel multi-speaker multi-spatial neural audio codec architecture.
User: anton-jeran
Home Page: https://anton-jeran.github.io/MAD/
multi-speaker,Multi-Speaker FastSpeech2 applicable to Korean. Description about train and synthesize in detail.
User: hwrg
multi-speaker,A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS
User: keonlee9420
multi-speaker,PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.
User: keonlee9420
multi-speaker,A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS
User: keonlee9420
multi-speaker,EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
User: netease-youdao
multi-speaker,An Algorithm for Speaker Recognition in a Multi-Speaker Environment
User: nikitashvarts
multi-speaker,
User: parisimaa
multi-speaker,PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
User: r9y9
Home Page: https://r9y9.github.io/deepvoice3_pytorch/
multi-speaker,Chinese Mandarin tts text-to-speech 中文 (普通话) 语音 合成 , by fastspeech 2 , implemented in pytorch, using waveglow as vocoder, with biaobei and aishell3 datasets
User: ranchlai
multi-speaker,Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
User: totoketchup
multi-speaker,Urdu Speech Recognition using Kaldi ASR, by training Triphone Acoustic GMMs using the PRUS dataset.
User: zoraizq
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