Evaluation of Single-Channel Speech Enhancement Algorithms by Using Objective Quality and Intelligibility Measures
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Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
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.
Açıklama
26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY
Anahtar Kelimeler
speech enhancement, objective quality, short-time objective intelligibility
Kaynak
2018 26th Signal Processing and Communications Applications Conference (Siu)
WoS Q Değeri
N/A
