• Corpus ID: 231662134

Turkish Voice Commands based Chess Game using Gammatone Cepstral Coefficients

  title={Turkish Voice Commands based Chess Game using Gammatone Cepstral Coefficients},
  author={Gizem Kosar Karaca and Yakup Kutlu},
This study was carried out to enable individuals with limited mobility skills to play chess in real time and to play games with the individuals around them without being under any social distress or stress. Voice recordings were taken from 50 people (23 men and 27 women). While recording the sound, 29 words from each person were used which are determined as necessary for playing the game. Mel Frequency Coefficients (MFCC) and Gammatone Cepstral Coefficients (GTCC) qualification methods were… 


Improved Musical Instrument Classification Using Cepstral Coefficients and Neural Networks
The analysis finds that CC surpassed all other features to provide maximum accuracy and robustness along with neural networks.
Gammatone Cepstral Coefficient forSpeaker Identification
The Gammatone cepstral coefficients (GTCCs) are a biologically inspired modification employing Glammatone filters with equivalent rectangular bandwidth bands used for speaker identification and audio parameterization and their performance is evaluated using three machine learning methods.
Gammatone Cepstral Coefficients: Biologically Inspired Features for Non-Speech Audio Classification
The Gammatone cepstral coefficients (GTCCs), which have been previously employed in the field of speech research, are adapted for non-speech audio classification purposes and are more effective than MFCC in representing the spectral characteristics of non- speech audio signals, especially at low frequencies.
Gender Identification using MFCC for Telephone Applications - A Comparative Study
Evaluating the performance of various state-of-the-art classification methods along with tuning their parameters for helping selection of the optimal classification methods for gender recognition tasks suggests that SVM is the best classifier among all the five schemes.
Modified gammatone frequency cepstral coefficients to improve spoofing detection
The use of modified gammatone frequency cepstral coefficients (MGFCC) is proposed on enhancing the performance of spoofing detection and it is observed that the fused system significantly outperforms all the individual systems for known and unknown attack conditions of ASV spoof 2015 database.
Implementation of Artificial Intelligence for Best Moves using Chessboard
This chess playing consists of two major parts, first, is the detecting of the illegal moves and second part gives you the best moves that can be achieved while playing.
Chess-Playing Programs and the Problem of Complexity
The Los Alamos program is an almost perfect example of the type of system specified by Shannon, and the static evaluation function consisted of a sum of material and mobility measures.
Epileptic State Detection: Pre-ictal, Inter-ictal, Ictal
This study uses Second-Order Difference Plot (SODP) to extract features based on consecutive difference of time domain values from three states of EEG, and Multi-Layer Neural Network classifier is used to classify these three classes.
A program for Progressive chess
An auditory-based feature for robust speech recognition
This work studies a novel feature based on an auditory periphery model for robust speech recognition that is derived by applying a cepstral analysis on gammatone filterbank responses and shows promising recognition performance.