Subjective Quality Evaluation of Speech Signals Transmitted via BPL-PLC Wired System

2020 ◽  
Author(s):  
Przemyslaw Falkowski-Gilski ◽  
Grzegorz Debita ◽  
Marcin Habrych ◽  
Bogdan Miedzinski ◽  
Przemyslaw Jedlikowski ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Subjective Quality ◽  
Speech Signals

Subjective quality evaluation of low-bit-rate video

2001 ◽  
Author(s):  
Mark Masry ◽  
Sheila S. Hemami ◽  
Wilfried M. Osberger ◽  
Ann M. Rohaly
Keyword(s):  
Quality Evaluation ◽  
Subjective Quality ◽  
Bit Rate ◽  
Low Bit Rate

Subjective Quality Evaluation of Underground BPL-PLC Voice Communication System

2020 ◽  
pp. 176-186
Author(s):  
Grzegorz Debita ◽  
Przemyslaw Falkowski-Gilski ◽  
Marcin Habrych ◽  
Bogdan Miedzinski ◽  
Bartosz Polnik ◽  
...  
Keyword(s):  
Communication System ◽  
Quality Evaluation ◽  
Subjective Quality ◽  
Voice Communication

scholarly journals Quality Evaluation of Speech Enhancement Algorithms for Normal and Hearing Loss Listeners

2019 ◽  
Vol 8 (12) ◽  
pp. 7-12
Keyword(s):  
Mean Square Error ◽  
Speech Enhancement ◽  
Quality Evaluation ◽  
Minimum Mean Square Error ◽  
Subjective Quality ◽  
Binary Mask ◽  
Mean Square ◽  
Regional Language ◽  
Speech Database ◽  
Ideal Binary Mask

The subjective quality test of the enhanced speech from different enhancement algorithms for listeners with normal hearing (NH) capability as well as listeners with hearing impairment (HI) is reported. The subjective quality evaluation of speech enhancement methods in the literature survey is mostly done targeting NH listeners and fewer attempts are observed to subjectively evaluate for HI listeners. The algorithms evaluated are from four different classes: spectral subtraction class(SS), statistical model based class (minimum mean square error), subspace class(PKLT) and auditory class (ideal binary mask using STFT, ideal binary mask using gammatone filterbank and ideal binary mask using gammachirp filterbank). The algorithms are evaluated using four types of real world noises recorded in Indian scenarios namely cafeteria, traffic, station and train at -5, 0, 5 and 10 dB SNRs. The evaluation is being done as per ITU-T P.835 standard in terms of three parametersspeech signal alone, background noise and overall quality. The noisy speech database developed in Indian regional language, Marathi, at four SNRs -5, 0, 5 and 10 dB is used for evaluation. Significant improvement is observed in ideal binary mask algorithm in terms of overall quality and signal distortion ratings for NH and HI listeners. The performance of minimum mean square error is also observed comparable with the ideal binary mask algorithm in some cases.

Empirical study on subjective quality evaluation of compressed images

1996 ◽  
Author(s):  
Timo Kaukoranta ◽  
Pasi Franti ◽  
Olli Nevalainen
Keyword(s):  
Empirical Study ◽  
Quality Evaluation ◽  
Subjective Quality ◽  
Compressed Images

scholarly journals Subjective Quality Evaluation via Paired Comparison: Application to Scalable Video Coding

2011 ◽  
Vol 13 (5) ◽  
pp. 882-893 ◽  
Author(s):  
Jong-Seok Lee ◽  
Francesca De Simone ◽  
Touradj Ebrahimi
Keyword(s):  
Video Coding ◽  
Quality Evaluation ◽  
Paired Comparison ◽  
Scalable Video Coding ◽  
Subjective Quality ◽  
Scalable Video

Subjective quality evaluation of compressed digital compound images

2015 ◽  
Vol 26 ◽  
pp. 105-114 ◽  
Author(s):  
Huan Yang ◽  
Yuming Fang ◽  
Yuan Yuan ◽  
Weisi Lin
Keyword(s):  
Quality Evaluation ◽  
Subjective Quality ◽  
Compound Images
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