Correction to: Low-complexity disordered speech quality estimation

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Correction to 'Minimum Complexity Density Estimation'

Manuscript submitted July 1991. A. R. Barron is with the Department of Statistics and the Department of Electrical and Computer Engineering, University of Illinois, 101 Illini Hall, 725 S. Wright Street, Champaign, IL. 91820. T. M. Cover is with the Departments of Electrical Engineering and Statistics, Durand, Room 121, Stanford University, Stanford, CA 94305. IEEE Log Number 9103053. ‘A. R. Ba...

متن کامل

Non-intrusive speech quality assessment with low computational complexity

We describe an algorithm for monitoring subjective speech quality without access to the original signal that has very low computational and memory requirements. The features used in the proposed algorithm can be computed from commonly used speechcoding parameters. Reconstruction and perceptual transformation of the signal are not performed. The algorithm generates quality assessment ratings wit...

متن کامل

A Low Complexity Forward Error Correction for PAPR reduction in OFDM Systems

In this paper, a Peak to Average Power Ratio (PAPR) reduction technique in Orthogonal Frequency Division Multiplexing (OFDM) systems is proposed. This technique uses error correction capability of channel coding to reduce the PAPR.The coded bits at the input of OFDM modulator are separated into two groups of the Most Significant Bits (MSB) and the LeastSignificant Bits (LSB). The bits are mappe...

متن کامل

Correction to Disordered Proteinaceous Machines

This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes.

متن کامل

Quality Estimation of Alaryngeal Speech

Abstract— Quality assessment can be done using subjective listening tests or using objective quality measures. Objective measures quantify quality. The sentence material is chosen from IEEE corpus. Real world noise data was taken from the noisy speech corpus NOIZEUS. Alaryngeal speaker‘s voice (alaryngeal speech) is recorded. To enhance the quality of speech produced from the prosthetic device,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Speech Technology

سال: 2020

ISSN: 1381-2416,1572-8110

DOI: 10.1007/s10772-020-09697-9