Repository for Computational Human Behavior Model
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Updated
Jul 16, 2018 - Jupyter Notebook
Repository for Computational Human Behavior Model
This repository houses a robust speech emotion recognition system, featuring signal processing scripts, machine learning algorithms, and comprehensive documentation. It accurately classifies emotions in spoken language, enabling applications like sentiment analysis and emotion-aware systems.
DynamicFluency - Monitor and understand the dynamicity of linguistic aspects in (L2) speech
I'm stuck on my project. Mainly my project is based on Speech Analysis. It must convert Speech to text. like wise if rndom person says play or pause on media player it must play or pause. And i'm stuck here please do help me
Analysis of Inaugural Speeches
Matilda's cochlea is a Python app that is constantly listening to the environment looking for commands
Feature Extraction and Classification of Voice Signals
Speech dictation using GCP Speech Recognition api and analyze speech for pitch detection and answer.
An hate speech detection built from scratch with NLTK, WordCloud, and word_tokenize.
Анализ речевых сигналов при помощи дискретного преобразования Фурье
The code computes the STFT of the audio signal using overlapping windows, and various features can be extracted from the resulting STFT matrix, which can then be used to train a machine learning model, such as an SVM, to classify the emotional state of the speaker.
English and Turkish Speech Mood Detection
COVID-19 detection from cough signal
2-People-New-Zealand-English-Average-Tone-Speech-Synthesis-Corpus
A quick NLTK analysis of Trump's (the candidate) speeches. Fairly revealing...
This program splits audio files into chunks and converts each chunk into text, performing sentiment analysis. The sentiment analysis determines whether the text is positive, negative, or neutral.
Uses html5 web speech api to analyze users speech and provide feedback about it. Useful for public speaking practice.
Digital Speech Recognition subject, carried out at São Paulo State University (UNESP).
This is a private organization. If you are interested in computer vision, natural language processing, speech recognition, big data platform and AI empowerment, maybe you can contact the author.
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