September-Assistant - Open-source Windows Voice Assistant

Overview

September - Windows Assistant

September is an open-source Windows personal assistant built-in python. Read How to Setup? for additional information on setting up the application.

🏆 Install

🔮 Features

  • Minimalistic UI
  • Lightweight
  • Customizable Wake Word
  • Type/Speak commands
  • Search Wiki, Google and YouTube
  • Open Windows Apps
  • Mathematical Calculations
  • Human-like Conversations

who.are.you.mp4

📚 Overview

September uses For
Google Speech Recognition Speech recognition
Pyttsx3 Text to Speech
Tkinter GUI
Wikipedia API Wiki related search
Wolfram Alpha Processing queries

💻 Code Walkthrough

  • main.py contains the functions for initializing Tkinter-based windows and converting speech to text.

    • The listening process and tkinter frame refresh process run concurrently using threads.
    • Each window is started as a separate thread for them to work parallelly.
    • Start and Stop Listening sounds are played using the playsound module.
    • The input from the user is taken either as a text from the command entry box or as audio from mic button entry place
    • The input is converted to text using SpeechRecognition module and passed to processtext function of processtext.py
  • processtext.py contains the function in which the command processing happens.

    • The input obtained from the user in the main function is passed to the processtext function. It has an if-else ladder to search for specific keywords in the input. If the query does not match with the keywords found in the ladder, it is passed to wolfresponse.py
    • Functions like opening apps, searching web happens here.
  • wikiresponse.py and wolfresponse.py are the places where the respective APIs are accessed to process the output of the unmatched queries from processtext.py

  • texttospeech.py uses the pyttsx3 module to convert speech to text.

    • After processing the query, text to speech function is called.
    • Esc Key is added as a keybind to stop text to speech for one iteration by calling texttospeech_stop function.
  • config_data.json contains the values that are displayed in the September app settings in JSON format. It is used for storing windows application paths, wake word and the API key.

  • requirements.txt contains the list of all the modules used in this program.

🌐 Dependencies

  • requirements.txt contains all the python modules required by the program.
  • All the assets used by the program are present in assets folder. The application won't function as intended without these assets.
  • Built in Python 3.10.1. Use python 3.0 or greater versions for a better experience.
  • Requires active internet connection.
  • Make sure that your antivirus doesn't block the program from uploading or downloading audio stream data. (Disable antivirus :D)
  • Additionally, the Pyaudio module must be installed by following the below instructions.

Install Pyaudio

  • Find your Python version using in your terminal
python --version
  • Find the appropriate .whl (wheel) file at Pythonlibs and download it.
  • Go to the folder where it is downloaded and install the .whl file using pip,
    For example, if you download the wheel file for Python 3.7 64-bit, your pip command would be,
pip install PyAudio-0.2.11-cp37-cp37m-win_amd64.whl

📝 License

MIT License Copyright (c) 2022 Nithin Balaji

You might also like...
ERISHA is a mulitilingual multispeaker expressive speech synthesis framework. It can transfer the expressivity to the speaker's voice for which no expressive speech corpus is available.
ERISHA is a mulitilingual multispeaker expressive speech synthesis framework. It can transfer the expressivity to the speaker's voice for which no expressive speech corpus is available.

ERISHA: Multilingual Multispeaker Expressive Text-to-Speech Library ERISHA is a multilingual multispeaker expressive speech synthesis framework. It ca

An evaluation toolkit for voice conversion models.

Voice-conversion-evaluation An evaluation toolkit for voice conversion models. Sample test pair Generate the metadata for evaluating models. The direc

Pytorch Implementation of DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis (TTS Extension)
Pytorch Implementation of DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis (TTS Extension)

DiffSinger - PyTorch Implementation PyTorch implementation of DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis (TTS Extension). Status

Automatic voice-synthetised summaries of latest research papers on arXiv

PaperWhisperer PaperWhisperer is a Python application that keeps you up-to-date with research papers. How? It retrieves the latest articles from arXiv

Phonetic PosteriorGram (PPG)-Based Voice Conversion (VC)

ppg-vc Phonetic PosteriorGram (PPG)-Based Voice Conversion (VC) This repo implements different kinds of PPG-based VC models. Pretrained models. More m

Here is the implementation of our paper S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations.
Here is the implementation of our paper S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations.

S2VC Here is the implementation of our paper S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations. In thi

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion Yinghao Aaron Li, Ali Zare, Nima Mesgarani We pres

Voice of Pajlada with model and weights.

Pajlada TTS Stripped down version of ForwardTacotron (https://github.com/as-ideas/ForwardTacotron) with pretrained weights for Pajlada's (https://gith

GuideDog is an AI/ML-based mobile app designed to assist the lives of the visually impaired, 100% voice-controlled
GuideDog is an AI/ML-based mobile app designed to assist the lives of the visually impaired, 100% voice-controlled

Guidedog Authors: Kyuhee Jo, Steven Gunarso, Jacky Wang, Raghav Sharma GuideDog is an AI/ML-based mobile app designed to assist the lives of the visua

Releases(v1.0.1)
Owner
The Nithin Balaji
Pull Stack Developer.
The Nithin Balaji
RANZCR-CLiP 7th Place Solution

RANZCR-CLiP 7th Place Solution This repository is WIP. (18 Mar 2021) Installation git clone https://github.com/analokmaus/kaggle-ranzcr-clip-public.gi

Hiroshechka Y 21 Oct 22, 2022
code for Grapadora research paper experimentation

Road feature embedding selection method Code for research paper experimentation Abstract Traffic forecasting models rely on data that needs to be sens

Eric López Manibardo 0 May 26, 2022
8-week curriculum for AI Builders

curriculum 8-week curriculum for AI Builders สารบัญ บทที่ 1 - Machine Learning คืออะไร บทที่ 2 - ชุดข้อมูลมหัศจรรย์และถิ่นที่อยู่ บทที่ 3 - Stochastic

AI Builders 134 Jan 03, 2023
mPose3D, a mmWave-based 3D human pose estimation model.

mPose3D, a mmWave-based 3D human pose estimation model.

KylinChen 35 Nov 08, 2022
Implementation of our paper 'RESA: Recurrent Feature-Shift Aggregator for Lane Detection' in AAAI2021.

RESA PyTorch implementation of the paper "RESA: Recurrent Feature-Shift Aggregator for Lane Detection". Our paper has been accepted by AAAI2021. Intro

137 Jan 02, 2023
A library built upon PyTorch for building embeddings on discrete event sequences using self-supervision

pytorch-lifestream a library built upon PyTorch for building embeddings on discrete event sequences using self-supervision. It can process terabyte-si

Dmitri Babaev 103 Dec 17, 2022
InterFaceGAN - Interpreting the Latent Space of GANs for Semantic Face Editing

InterFaceGAN - Interpreting the Latent Space of GANs for Semantic Face Editing Figure: High-quality facial attributes editing results with InterFaceGA

GenForce: May Generative Force Be with You 1.3k Jan 09, 2023
Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks

This is an implementation of Volodymyr Mnih's dissertation methods on his Massachusetts road & building dataset and my original methods that are publi

Shunta Saito 255 Sep 07, 2022
Simple data balancing baselines for worst-group-accuracy benchmarks.

BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating

Meta Research 29 Dec 02, 2022
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

============================================================================================================ `MILA will stop developing Theano https:

9.6k Jan 06, 2023
Alpha-Zero - Telegram Group Manager Bot Written In Python Using Pyrogram

✨ Alpha Zero Bot ✨ Telegram Group Manager Bot + Userbot Written In Python Using

1 Feb 17, 2022
Discovering Interpretable GAN Controls [NeurIPS 2020]

GANSpace: Discovering Interpretable GAN Controls Figure 1: Sequences of image edits performed using control discovered with our method, applied to thr

Erik Härkönen 1.7k Jan 03, 2023
Making a music video with Wav2CLIP and VQGAN-CLIP

music2video Overview A repo for making a music video with Wav2CLIP and VQGAN-CLIP. The base code was derived from VQGAN-CLIP The CLIP embedding for au

Joel Jang | 장요엘 163 Dec 26, 2022
This is an open source library implementing hyperbox-based machine learning algorithms

hyperbox-brain is a Python open source toolbox implementing hyperbox-based machine learning algorithms built on top of scikit-learn and is distributed

Complex Adaptive Systems (CAS) Lab - University of Technology Sydney 21 Dec 14, 2022
Solutions and questions for AoC2021. Merry christmas!

Advent of Code 2021 Merry christmas! 🎄 🎅 To get solutions and approximate execution times for implementations, please execute the run.py script in t

Wilhelm Ågren 5 Dec 29, 2022
The dataset of tweets pulling from Twitters with keyword: Hydroxychloroquine, location: US, Time: 2020

HCQ_Tweet_Dataset: FREE to Download. Keywords: HCQ, hydroxychloroquine, tweet, twitter, COVID-19 This dataset is associated with the paper "Understand

2 Mar 16, 2022
Machine learning framework for both deep learning and traditional algorithms

NeoML is an end-to-end machine learning framework that allows you to build, train, and deploy ML models. This framework is used by ABBYY engineers for

NeoML 704 Dec 27, 2022
A supplementary code for Editable Neural Networks, an ICLR 2020 submission.

Editable neural networks A supplementary code for Editable Neural Networks, an ICLR 2020 submission by Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitry Py

Anton Sinitsin 32 Nov 29, 2022
ARAE-Tensorflow for Discrete Sequences (Adversarially Regularized Autoencoder)

ARAE Tensorflow Code Code for the paper Adversarially Regularized Autoencoders for Generating Discrete Structures by Zhao, Kim, Zhang, Rush and LeCun

19 Nov 12, 2021
University of Rochester 2021 Summer REU focusing on music sentiment transfer using CycleGAN

Music-Sentiment-Transfer University of Rochester 2021 Summer REU focusing on music sentiment transfer using CycleGAN Poster: Music Sentiment Transfer

Miles Sigel 2 Jan 24, 2022