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applied-natural-language-processing-w-python

Source Code for 'Applied Natural Language Processing with Python' by Taweh Beysolow II

digital-signal-processing-2-voice-recognition-classification

This project trains a computer program to identify the voice of the speaker. It was a part of the master's degree (Electronic Systems Engineering) at Heilbronn University of Applied Sciences

emotion-recognition-and-prediction

A streamlined system to detect human emotions from image and voice and predict its reaction

fraud-detector

Fraud Detector enables to bring fraud detection service for telephone communication such as malicious calls from thefts who are acting sons and daughters. To block the fraud, this solution can provide fraud detection system using voice recognition, natural language processing and machine learning. The user who subscribes this service can get score for "fraud-ness" from the system and he/she recognize whether the last call was from real son or not.

gesture-recognition-and-voice-conversion

this system is built for betterment of deaf and mute people.

hackerearth-solution

Contains hackerearth solutions in python 3

hackerrankpractice

170+ solutions to Hackerrank.com practice problems using Python 3, С++ and Oracle SQL

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

padhai-deep-learning

This repository contains my solutions to PadhAI deep-learning course.

python-books

python-practice

Python Problems

python-programming-exercises

100+ Python challenging programming exercises

python_assistant

This is a python script which is programmed to follow certain commands with voice recognition system.

pytorchnlpbook

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

pyvr

Pure Python implementation of a voice recognition system

speech-emotion-analyzer

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

speech-emotion-recognition-system

-An algorithmic approach for detection and analysis of human emotions with the help of voice and speech processing.

vi-face

A Facial Recognition system for the Visually impaired with a Voice interface

voice-beep

Voice recognition system to detect negative words spoken with a beep signal

voice-controlled-home-automation-with-python-and-raspberry-pi

This project uses IBM Watson API, the Python Speech Recognition Library and Raspberry Pi to build a voice controlled home automation system.

voice-recognition

Developed an voice recognition system using python . It involves certain modules such as converting speech to text and text to speech . It also involves of sending an email , login into face book and other predefined functionalities .

wake-up-word-detection

Wake-up-word(WUW)system is an emerging development in recent times. Voice interaction with systems have made life ease and aids in multi-tasking. Apple, Google, Microsoft, Amazon have developed a custom wake-word engine, which are addressed by words such as ‘Hey Siri’. ‘Ok Google’, ‘Cortana’, ‘Alexa’. Our project focuses initially only detection and response to a customized wake-up command. The wake-up command used is “GOLUMOLU”. A wake-up-word detection system search for specific word and reads the word, where it rejects all other words, phrases and sounds. WUW system needs only less memory space, low computational cost and high precision. Artificial Neural Networks(ANN) have reduced the complexity, computational time, latency, thus the efficiency of system has improved. Deep learning has improved the efficiency of automatic speech recognition(SR), where wake word detection is a subset of SR but unlike keyword spotting and voice recognition. A deep learning RNN model is used for the training of the network. RNN are specifically used in case of temporal sequence data and has the ability to process data of different length but of same dimension. For training a model, labelled dataset is needed. We generated three forms of data: golumolu, negative and background. Such that, the model learns circumspectly and attentively detects when specific word found. To start communication with system, the wake word should be delivered. The main task of WUW detection system is to detect the speech, to identify WUW words among spoken words, to check whether the word spoken in altering context.

wikipediasentencecrawler

Crawls Wikipedia articles and parses out sentences from articles. I am personally using this to build language model for a voice recognition system.