This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

Workshop on Detection and Classification of Acoustic Scenes and Events

Speech Emotion Recognition & Sound Classification is a system that detects and categorizes emotions from speech and various sounds by analyzing audio features like pitch and tone. It's used in applications such as customer service, mental health monitoring, and interactive systems to improve human-computer interaction.

The Speech Emotion Recognition and Sound Classification project aims to classify emotions from speech signals and categorize various sounds into predefined classes.

Respiratory Disorder Classification Based on Lung Auscultation sounds

Sound Classification Using CNN

Deep learning model for animal sound classification.

My music tech thesis prototype as well as recent class project

This Model analyzes and predicts the input sound and then using pretrained ANC systems cancels the input sound.

🩺♥ Heart Beat Sound Classification (HBSC) is a GraphQL API for classifying heart beats sounds in real time.

"The sound of typing: using Machine Learning to classify Keyboard Acoustic Emanations" 2024 bachelor thesis source code.

Group project to classify audio samples with Deep ML models for the Curricular Unit Machine Learning 2 on FCUP @ Porto, Portugal

INTER ART - AUDIO Analyser - CodeOp - First Student APP

A neural network lib in C++20 optimized for CPU. Create, train and use a neural network in less than 10 lines of codes.

[AAAI 2023 (Oral)] CrissCross: Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity

In this repository, we present two new deep learning architectures based on spatio-temporal modeling for underwater signal classification.

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)