real-time-sound-event-detection's Introduction

Real-Time Sound Event Detection

This repository contains the python implementation of a Sound Event Detection system working in real time.

Getting started

Execute the following commands to setup you project.

git clone https://github.com/robertanto/Real-Time-Sound-Event-Detection.git
cd Real-Time-Sound-Event-Detection
pip3 install -r requirements.txt

At this point you have only to execute the demo by running the following command:

python3 ./sound_event_detection.py

Change the classes to detect

To modify the classes to visualize in the plot, change the event's ids in the file sound_event_detection.py at the line 16:

plt_classes = [0,132,420,494] # Speech, Music, Explosion, Silence

You can find the full list of 521 audio events in keras_yamnet\yamnet_class_map.csv. It follows the list of the first 50 audio events:

0, Speech
1, Child speech, kid speaking
2, Conversation
3, Narration, monologue
4, Babbling
5, Speech synthesizer
6, Shout
7, Bellow
8, Whoop
9, Yell
10, Children shouting
11, Screaming
12, Whispering
13, Laughter
14, Baby laughter
15, Giggle
16, Snicker
17, Belly laugh
18, Chuckle, chortle
19, Crying, sobbing
20, Baby cry, infant cry
21, Whimper
22, Wail, moan
23, Sigh
24, Singing
25, Choir
26, Yodeling
27, Chant
28, Mantra
29, Child singing
30, Synthetic singing
31, Rapping
32, Humming
33, Groan
34, Grunt
35, Whistling
36, Breathing
37, Wheeze
38, Snoring
39, Gasp
40, Pant
41, Snort
42, Cough
43, Throat clearing
44, Sneeze
45, Sniff
46, Run
47, Shuffle
48, Walk, footsteps
49, Chewing, mastication
50, Biting

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