848 Open source projects that are alternatives of or similar to React Native Dialogflow

Efficient voice activity detection algorithm using long-term speech information

Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart. Objectives of the development are simplicity, modularity, controllability and multilinguality.

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

RETIRED - OpenSTT is now retired. If you would like more information on Mycroft AI's open source STT projects, please visit:

This repository has implementation for "Neural Voice Cloning With Few Samples"

Pitch shifter using WSOLA and resampling implemented by Python3

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

Python interface to CMU Sphinxbase and Pocketsphinx libraries

Learn how to build a simple text-to-speech voice app for the web using the Web Speech API.

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

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

WaveNet vocoder

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

A repo listing known open source voice tools, ordered by where they sit in the voice stack

Gender recognition by voice and speech analysis

This application is developed to help speechless people interact with others with ease. It detects voice and converts the input speech into a sign language based video.

A neural network for end-to-end speech denoising

Real-time GCC-NMF Blind Speech Separation and Enhancement

PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

Simple sentence mixing tool (work in progress)

Emailing System for visually impaired persons

Scripts for LIUM SpkDiarization tools

UniSpeech - Large Scale Self-Supervised Learning for Speech

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

💬 Speech recognition for your site

Implementation of Neural Voice Cloning with Few Samples Research Paper by Baidu

Deep Learning-based Voice Conversion system

🔉 spafe: Simplified Python Audio Features Extraction

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

Voice control for your websites and applications

A python wrapper for Speech Signal Processing Toolkit (SPTK).

AGI-server voice recognizer for #Asterisk

an open source voice command macro software

OpenThread Border Router, a Thread border router for POSIX-based platforms.

Tool which allow you to detect and translate text.

🐸 collection of TTS papers

Sample Google Workspace Add-ons

Youtube autolike and autosubs script

The Easiest Way To Play/Stream Video And Audio Using Google ExoPlayer In Your Android Application

Kotlin framework for conversational voice assistants and chatbots development

COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉

The Naomi Project is an open source, technology agnostic platform for developing always-on, voice-controlled applications!

VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network

A formatter for Python files

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

Here we are going to make some python projects during Quarantine time

An Android ChatBot powered by Watson Services - Assistant, Speech-to-Text and Text-to-Speech on IBM Cloud.

Frame-Recurrent Video Super-Resolution (official repository)

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

🈯 A Node.JS library to consume Google Translate API for free.

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

Google Santa Tracker app for Android is an educational and entertaining tradition that brings joy to millions of children (and children at heart) across the world over the December holiday period.

Remove the fear of Android app compatibility on de-Googled devices.

Client library for OAuth2/OpenID Connect

Sheetsu Web Client

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

Google API Client Library for R. Easy authentication and help to build Google API R libraries with OAuth2. Shiny compatible.

React Native Wrapper of Google Place Picker for iOS + Android.