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Hi 👋, I'm ishine.

  • 🔭 I’m currently working on TTS, VC, SVS, ASR.
  • voice conversion/changer @ dubbing-ai.com

ishine's Projects

transformer-tts icon transformer-tts

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

transformer-tts-1 icon transformer-tts-1

A Tensorflow Implementation like "Neural Speech Synthesis with Transformer Network" Port From OpenSeq2Seq

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

transformertts-1 icon transformertts-1

🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

transfusion-asr icon transfusion-asr

Transcribing Speech with Multinomial Diffusion, training code and models.

translate-python icon translate-python

Online translation as a Python module & command line tool. No key, no authentication needed.

transphone icon transphone

phone tokenizer and grapheme-to-phoneme model for 8k languages

transtacos-retunegan icon transtacos-retunegan

A toy-like Text-to-Speech for Chinese/Mandarin synthesize, inspired by Tacotron & FastSpeech2 & RefineGAN.

transummar icon transummar

Transformer for abstractive summarization on cnn/daily-mail and gigawords

triplenet icon triplenet

TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots (CoNLL2019)

triplet-loss-train-for-speaker-recognition icon triplet-loss-train-for-speaker-recognition

It is a complete project of voiceprint recognition or speaker recognition.Before, I upload a very classic VGG based model for speaker recognition . The model simply use softmax-loss to train super-parameters. But during testing stage,we found the model is not very reliable。for example, the model can easily distinguish man-man group, and man-woman group, but difficultly in woman-woman. So, we try another method called triplet-group to retrain our model, of course, we use triplet-loss as the loss for back propagation. The I upload our core code, and training curve for the two training stage. Why, I refer to "two training stage"? That need you to understand the triplet-group method. And very very welcome to my mailbox: [email protected]

trpg-replay-generator icon trpg-replay-generator

回声工坊是一个一站式视频制作工具集,可以方便快捷地制作 gal 风格 replay 视频。

trwebocr icon trwebocr

开源易用的中文离线OCR,识别率媲美大厂,并且提供了易用的web页面及web的接口,方便人类日常工作使用或者其他程序来调用~

ts-rir icon ts-rir

Translating Synthetic RIRs to Real RIRs

tstnn icon tstnn

transformer based neural network for speech enhancement in time domain

tts icon tts

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

tts-1 icon tts-1

微软azure文本转语音 音频下载

tts-3 icon tts-3

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

tts-cube icon tts-cube

End-2-end speech synthesis with recurrent neural networks

tts-scores icon tts-scores

Scripts for computing the Intelligibility and CLVP scores for evaluating TTS models

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