Evaluation of single-channel speech enhancement algorithms by using objective quality and intelligibility measures
Yükleniyor...
Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, single-channel speech enhancement algorithms were evaluated with objective quality and objective intelligibility measures using Turkish speech database. The clean 30 sentences from the METU database are corrupted by car and babble noise types at -10, -5, 0, 5 and 10 dB SNR levels. The Karhunen-Loeve Transform has been found to be more successful than other methods in terms of both quality and intelligibility, given the amount of segmental SNR improvement, weighted spectral slope, short-time objective intelligibility values and spectrogram representations. © 2018 IEEE.
Açıklama
Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780
Anahtar Kelimeler
Objective quality, Short-time objective intelligibility, Speech enhancement, Mathematical transformations, Principal component analysis, Quality control, Signal processing, Signal to noise ratio, Speech intelligibility, Speech recognition, Babble noise, Karhunen Loeve Transform (KLT), Objective qualities, Single-channel speech enhancement algorithms, SNR improvement, Spectral slopes, Spectrograms, Speech database, Speech enhancement
Kaynak
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
