Predicting Sex and Stroke Success – Computer-aided Player Grunt Analysis in Tennis Matches

02/18/2022
by   Lukas Stappen, et al.
0

Professional athletes increasingly use automated analysis of meta- and signal data to improve their training and game performance. As in other related human-to-human research fields, signal data, in particular, contain important performance- and mood-specific indicators for automated analysis. In this paper, we introduce the novel data set SCORE! to investigate the performance of several features and machine learning paradigms in the prediction of the sex and immediate stroke success in tennis matches, based only on vocal expression through players' grunts. The data was gathered from YouTube, labelled under the exact same definition, and the audio processed for modelling. We extract several widely used basic, expert-knowledge, and deep acoustic features of the audio samples and evaluate their effectiveness in combination with various machine learning approaches. In a binary setting, the best system, using spectrograms and a Convolutional Recurrent Neural Network, achieves an unweighted average recall (UAR) of 84.0 and 60.3 grunts of both sexes. Further, we achieve a UAR of 58.3 models are exclusively trained on female or male grunts, respectively.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/24/2019

Audio-based automatic mating success prediction of giant pandas

Giant pandas, stereotyped as silent animals, make significantly more voc...
research
05/23/2023

Happy or Evil Laughter? Analysing a Database of Natural Audio Samples

We conducted a data collection on the basis of the Google AudioSet datab...
research
11/29/2020

Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning

Current research in eSports lacks the tools for proper game practising a...
research
08/18/2019

eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair

Today's competition between the professional eSports teams is so strong ...
research
07/10/2018

Deep Learning for Audio Transcription on Low-Resource Datasets

In training a deep learning system to perform audio transcription, two p...
research
05/02/2021

Analysis of Machine Learning Approaches to Packing Detection

Packing is an obfuscation technique widely used by malware to hide the c...
research
12/29/2017

RedDwarfData: a simplified dataset of StarCraft matches

The game Starcraft is one of the most interesting arenas to test new mac...

Please sign up or login with your details

Forgot password? Click here to reset