On the importance of phase and magnitude spectra in speech enhancement

E. Loweimi, Seyed Mohammad Ahadi, S. Loveymi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

The aim of this paper is to investigate the importance of phase and magnitude spectra in speech enhancement at different conditions with emphasizing on the role of phase spectrum. The speech signal is exposed to additive noise in different SNRs. Then, it is decomposed into different frame lengths from 32 to 1024 ms. In synthesis stage we have used clean phase spectrum along with noisy magnitude spectrum as well as clean magnitude spectrum along with noisy phase spectrum. The quality of speech is evaluated by PESQ objective measure. The maximum speech quality improvement in SNR of 0 dB in case of using clean phase is 1.1 in PESQ scale obtained in frame length of 128 ms and in case of using clean magnitude spectrum is 2.2 in PESQ scale in frame length of 32 ms. Finally, we have shown that phase spectrum cleaning for female speakers leads to more speech quality improvement and in case of male speakers magnitude spectrum enhancement is more useful.
Original languageEnglish
Title of host publication2011 19th Iranian Conference on Electrical Engineering
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)978-964-463-428-4
ISBN (Print)978-1-4577-0730-8
Publication statusPublished - 1 May 2011
Event19th Iranian conference on Electrical Engineering - Tehran, Iran, Islamic Republic of
Duration: 17 May 201119 May 2011


Conference19th Iranian conference on Electrical Engineering
Abbreviated titleICEE 2011
Country/TerritoryIran, Islamic Republic of

Keywords / Materials (for Non-textual outputs)

  • speech enhancement
  • speech signal
  • additive noise
  • SNR
  • frame length
  • phase spectrum
  • magnitude spectrum
  • PESQ objective measure
  • speech quality improvement
  • time 32 ms to 1024 ms
  • Speech enhancement
  • phase spectrum cleaning
  • magnitude spectrum cleaning
  • PESQ


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