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Robust harmonic features for classification-based pitch estimation
Pitch estimation in diverse naturalistic audio streams remains a challenge for speech
processing and spoken language technology. In this study, we investigate the use of robust …
processing and spoken language technology. In this study, we investigate the use of robust …
A study on the relationship between the intelligibility and quality of algorithmically-modified speech for normal hearing listeners
This study investigates the relationship between the intelligibility and quality of modified
speech in noise and in quiet. Speech signals were processed by seven algorithms designed …
speech in noise and in quiet. Speech signals were processed by seven algorithms designed …
Instantaneous fundamental frequency estimation with optimal segmentation for nonstationary voiced speech
In speech processing, the speech is often considered stationary within segments of 20-30
ms even though it is well known not to be true. In this paper, we take the nonstationarity of …
ms even though it is well known not to be true. In this paper, we take the nonstationarity of …
Enhancement and noise statistics estimation for non-stationary voiced speech
In this paper, single channel speech enhancement in the time domain is considered. We
address the problem of modelling non-stationary speech by describing the voiced speech …
address the problem of modelling non-stationary speech by describing the voiced speech …
Exploiting temporal correlation in pitch-adaptive speech enhancement
The single-channel speech enhancement problem is addressed. We propose a pitch-
adaptive short-time Fourier transform (PASTFT) framework to obtain a signal-dependent …
adaptive short-time Fourier transform (PASTFT) framework to obtain a signal-dependent …
[ΒΙΒΛΙΟ][B] Model-based Analysis and Processing of Speech and Audio Signals
MG Christensen - 2020 - vbn.aau.dk
This thesis is concerned with model-based analysis and processing of speech and audio
signals, to which a number of scientific contributions are made in the form of new …
signals, to which a number of scientific contributions are made in the form of new …
[PDF][PDF] Dipl.-Ing. Johannes Karl-Wilhelm Stahl, BSc.
PDP Mowlaee - 2019 - researchgate.net
Single-channel speech enhancement refers to the reduction of noise signal components in a
single-channel signal composed of both speech and noise. Spectral speech enhancement …
single-channel signal composed of both speech and noise. Spectral speech enhancement …
[PDF][PDF] Speech Analysis and Single Channel Enhancement to Improve Speech Intelligibility for Cochlear Implant Recipients
D Wang - 2017 - utd-ir.tdl.org
Cochlear implant (CI) devices are able to help deaf individuals recover hearing ability by
surgically inserting electrode arrays into the inner ear, to stimulate the auditory nerve and …
surgically inserting electrode arrays into the inner ear, to stimulate the auditory nerve and …
[PDF][PDF] Optimizing Features for the Classifi
A Christensen - Power, 2016 - vbn.aau.dk
This project deals with methods for extracting features in signals, which then can be used in
a machine learning approach for recognizing an aircraft in a signal. Noise is often unwanted …
a machine learning approach for recognizing an aircraft in a signal. Noise is often unwanted …