241 Open source projects that are alternatives of or similar to Voice Converter Cyclegan

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a simple php implementation of a Nabaztag server

Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.

speech-aligner，是一个从“人声语音”及其“语言文本”，产生音素级别时间对齐标注的工具。speech-aligner, is a tool that generate phoneme-level alignment between human speech and its transcription

p2p speech encrypting device with analog audio interface suitable for GSM phones

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how to use the Google Cloud Speech API to transcribe audio/video files.

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Colorization of grayscale images using CycleGAN in TensorFlow.

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Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoisi…

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Tensorflow implementation of CycleGAN

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Jarvis Home Automation

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Code examples for new APIs of iOS 10.

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集成Webrtc的VAD，用于切分音频文件

Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!

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A collection of datasets for the purpose of emotion recognition/detection in speech.

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

Use ctc to do chinese speech recognition by keras / 通过keras和ctc实现中文语音识别

Android speech recognition and text to speech made easy

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

Implementation of MelNet in PyTorch to generate high-fidelity audio samples

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The Hidden Markov Model Toolkit (HTK) from University of Cambridge, with fixed issues.

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Open source projects related to Snips https://snips.ai/.

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

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

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deep learning based speech enhancement using keras or pytorch, make it easy to use