GitHub

Ranjeet7680/-Speech-Emotion-Recognition

MFCC feature extraction with librosa Multiple model architectures (CNN, LSTM, CNN-LSTM hybrid) Support for datasets: RAVDESS, TESS, EMO-DB Real-time emotion prediction ...
IEEE

Optimizing Code Feature Extraction and Classification using Random Forest Models on Abstract Syntax Trees

Abstract: The machine learning methods applied to code classification tasks that use Abstract Syntax Tree (AST) features has been explored in this study. The dataset includes parsed AST ...
GitHub

dathu/Speech_Feature_Extraction

feature_extraction_functions.py: a set of feature extraction functions from RDShi-SpeakerCount. MFCC: Mel-frequency cepstral coefficients calculation. MFCC.py, MFCCTest.py: Compute the MFCC feature.
C&EN

Deep Drug–Target Binding Affinity Prediction Base on Multiple Feature Extraction and Fusion

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Predicting drug–target binding affinity (DTA) is essential in ...
VentureBeat

Google upgrades its programming agent Code Assist with Gemini 2.0, adds source integrations

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More On the heels of releasing its new generative AI models, Google updated ...
IEEE

Keyword spotting system for Tamil isolated words using Multidimensional MFCC and DTW algorithm

Abstract: Audio mining is a speaker independent speech processing technique and is related to data mining. Keyword spotting plays an important role in audio mining. Keyword spotting is retrieval of ...