Detail publikačního výsledku

Classification of Transmission Channels by Speech Signal Processing

KOPŘIVA, T.; ATASSI, H.; HUSSAIN, A.

Originální název

Classification of Transmission Channels by Speech Signal Processing

Anglický název

Classification of Transmission Channels by Speech Signal Processing

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The paper deals with the classification of five different transmission channels by applying speech signal processing techniques. The channels considered are: GSM, two PSTN channels and two VoIP channels. For training and testing purpose, a speech database called SPLAB TranCh was constructed. The speech signals of this corpus originally come from well-known TIMIT database, where each utterance passed through each mentioned transmission channel. The main objective of this work is to find optimal features and classification technique that yield best classification accuracy. Several types of features, including MFCC, LPCC and spectral characteristics were put under examination. The best features were identified by using the mRMR algorithm. Various classifiers were tested as well. The results suggested that the classification of transmission channels can be performed with high accuracy (around 92%).

Anglický abstrakt

The paper deals with the classification of five different transmission channels by applying speech signal processing techniques. The channels considered are: GSM, two PSTN channels and two VoIP channels. For training and testing purpose, a speech database called SPLAB TranCh was constructed. The speech signals of this corpus originally come from well-known TIMIT database, where each utterance passed through each mentioned transmission channel. The main objective of this work is to find optimal features and classification technique that yield best classification accuracy. Several types of features, including MFCC, LPCC and spectral characteristics were put under examination. The best features were identified by using the mRMR algorithm. Various classifiers were tested as well. The results suggested that the classification of transmission channels can be performed with high accuracy (around 92%).

Klíčová slova

Transmission channel, recognition, SVM, Feature, Classifier.

Klíčová slova v angličtině

Transmission channel, recognition, SVM, Feature, Classifier.

Autoři

KOPŘIVA, T.; ATASSI, H.; HUSSAIN, A.

Rok RIV

2014

Vydáno

02.07.2013

ISBN

978-1-4799-0402-0

Kniha

36th International Conference on Telecommunications and Signal processing

Strany od

100

Strany do

103

Strany počet

4

BibTex

@inproceedings{BUT103102,
  author="Tomáš {Kopřiva} and Hicham {Atassi} and Amir {Hussain}",
  title="Classification of Transmission Channels by Speech Signal Processing",
  booktitle="36th International Conference on Telecommunications and Signal processing",
  year="2013",
  pages="100--103",
  isbn="978-1-4799-0402-0"
}