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animal-sound-classification

animal-sound-classification-using-a-convolutional-neural-network

Proposed a system which classifies animal sound using a deep convolutional neural network. This repo contains animal sounds used in this work.

animal-sounds-embedded-classifier

Area : Combination of machine learning and embedded hardware design Tools used: Raspberry Pi, Microphone, numpy, Scipy, Wi-fi Module We (team of 4) developed a prototype of a embedded application which could be fitted on a safari vehicle. When the safari goes in the jungle for a ride, if it detects sound, it takes a short sample and tries to classify it according to a pre-trained prediction model. The machine learning algorithm used was random forest. We were successfully able to train the model on lion , tiger, peocock, wolf , elephant and several more such wild animals. The sound samples were obtained from several animal sound repositories. The model achieved an accuracy of around 87% on the test data surmounting problems like noise in sound files, lack of extensive training examples. We also used a Wi-fi module so that information about the animal detected can be broadcast to the tourists' mobile devices.

argus-freesound

Kaggle | 1st place solution for Freesound Audio Tagging 2019

ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

audio-analysis-vad

Different VAD algorithms using Speech features

audio-classification

:musical_score: Environmental sound classification using Deep Learning with extracted features

audio-recognition

Binary classification of audio recordings: sounds of rain and animals. The notebook "start" contains primary data visualization, Fourier transforms and converting sound files to their spectrogram. Two neural network architectures are implemented: 1d - CNN and 2d - CNN. The framework used is tensorflow.

audioset_classification

audioset_tagging_cnn

catchat

A chatroom built with Flask, featured with Markdown support and code syntax highlight.

classification-of-endangered-species-using-sound-recognition

The main goal of this project was to build an Artificial Neural Network model with limited amount of sound data of various endangered animal species. The model can be further improved and can be used to located certain animal species in the wild.

classification_animal_sound

cmu-thesis

Code for Yun Wang's PhD Thesis: Polyphonic Sound Event Detection with Weak Labeling

cnn-speech-classification

Convolutional neural network classifier for vocal tract diseases

computer-visionandaudio-lab

2018秋哈工大视听觉实验

crnn-audio-classification

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

dcase2017_task4_cvssp

code for our 1st prize system to win the DCASE2017 task4 challenge

dcase2019_task4

Baseline of dcase 2019 task 4

dcase2019_task4-1

dcase2020_task5

Dcase2020_Task5

desed

Repo associated to the DESED dataset, download and creation of data

desed_dataset

dns-challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

environmental-sound-classification

Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

mica-speech-activity-detection

Robust Speech Activity Detection (SAD) in movie audio

models

Models and examples built with TensorFlow

ontology

The Audio Set Ontology aims to provide a comprehensive set of categories to describe sound events.

pb_sed

Paderborn Sound Event Detection