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voice_chatbot

Chatbot in russian with speech recognition using PocketSphinx and speech synthesis using RHVoice. The AttentionSeq2Seq model is used. Imlemented using Python3+TensorFlow+Keras.

voice_conversion

voice_conversion_cyclegan

A Tensorflow implementation of CycleGAN-VC

voice_converter_cyclegan

Voice Converter Using CycleGAN and Non-Parallel Data

voicenet

Speech synthesis platform based on tensorflow and sonnet

vr_final

Oil painting & water color image effect simulation

wav2lip

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.

wav2lip-wavenet-colab

Google Colab Notebook that allows you to use Wav2Lip in combination with Google Wavenet

waveglow

A Flow-based Generative Network for Speech Synthesis

wavenet

Colab for WaveNet.

wavenet_vocoder

WaveNet vocoder

wavernn

WaveRNN Vocoder + TTS

weasyprint

The awesome document factory

weathercollector

A python script to collect daily weather data from anywhere in the world within any time range

web-audio-recorder-js

.wav/.ogg/.mp3 recorder with Web Audio API

web-chat-application

A simple PHP and JQUERY chat using AJAX

web-form

A simple HTML web form

web-speech-api

A repository for demos illustrating features of the Web Speech API. See https://developer.mozilla.org/en-US/docs/Web/API/Web_Speech_API for more details.

webcam-in-php-html5

Use webcam in PHP using HTML5, Jquery and Save the Image to Database

webcamjs

HTML5 Webcam Image Capture Library with Flash Fallback

webplatform-samples

HTML5 Samples/Demos

webspeech

HTML5 Speech Recognition API Wrapper Library

wide-range-image-blending

wiktionary-phoneme

Extract phonemes and words from Wiktionary dumps

wine-review-nlp

Predicting variety of the Vine from a review

winerecommend

wkhtmltopdf

Convert HTML to PDF using Webkit (QtWebKit)

woocommerce-demo-store

word-embedding-with-python

word2vec, doc2vec, GloVe implementation with Python

word-embeddings-from-scratch

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.