Detail publikačního výsledku

Noise cancellation algorithms for speech signal distorted in telecommunication networks.

KOULA, I.; ESPOSITO, A.

Originální název

Noise cancellation algorithms for speech signal distorted in telecommunication networks.

Anglický název

Noise cancellation algorithms for speech signal distorted in telecommunication networks.

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper aims to provide an evaluation of the effectiveness of three different speech noise power spectrum estimation algorithms The evaluation of their efficiency was based on the hit rate recognition obtained at the output of an HMM phoneme based speech recognizer. Noisy speech consisted of 100 speech sentences randomly extracted from the NTIMIT database. The best speech noise power spectrum estimator proved to be a procedure based on the arithmetic average of the power spectrums obtained from signal frames where no speech activity was detected. The noise spectrum estimate provide by either a four layer MLP neural network, or an Adaptive Neural Fuzzy Inference System (ANFIS) proved to give lower performance than the average noise spectrum estimator, even though both of them are able to detect some of the noise features and the ANFIS performance are better than those obtained from the MLP neural network.

Anglický abstrakt

This paper aims to provide an evaluation of the effectiveness of three different speech noise power spectrum estimation algorithms The evaluation of their efficiency was based on the hit rate recognition obtained at the output of an HMM phoneme based speech recognizer. Noisy speech consisted of 100 speech sentences randomly extracted from the NTIMIT database. The best speech noise power spectrum estimator proved to be a procedure based on the arithmetic average of the power spectrums obtained from signal frames where no speech activity was detected. The noise spectrum estimate provide by either a four layer MLP neural network, or an Adaptive Neural Fuzzy Inference System (ANFIS) proved to give lower performance than the average noise spectrum estimator, even though both of them are able to detect some of the noise features and the ANFIS performance are better than those obtained from the MLP neural network.

Klíčová slova

spectral subtraction, thresholdig, neural network, ANFIS, speech recognizer

Klíčová slova v angličtině

spectral subtraction, thresholdig, neural network, ANFIS, speech recognizer

Autoři

KOULA, I.; ESPOSITO, A.

Vydáno

01.01.2006

Nakladatel

Ústav radiotechniky a elektroniky, Akademie věd České republiky.

Místo

česká republika, Praha

ISBN

86269-15-9

Kniha

16th Czech-German Workshop on speech processing

Strany od

1

Strany počet

7

BibTex

@inproceedings{BUT24891,
  author="Ivan {Koula} and Anna {Esposito}",
  title="Noise cancellation algorithms for speech signal distorted in telecommunication networks.",
  booktitle="16th Czech-German Workshop on speech processing",
  year="2006",
  pages="7",
  publisher="Ústav radiotechniky a elektroniky, Akademie věd České republiky.",
  address="česká republika, Praha",
  isbn="86269-15-9"
}