Journal ArticleDOI
Evaluating the intelligibility benefit of speech modifications in known noise conditions
Martin Cooke,Catherine Mayo,Cassia Valentini-Botinhao,Yannis Stylianou,Bastian Sauert,Yan Tang +5 more
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TLDR
The current study compares the benefits of speech modification algorithms in a large-scale speech intelligibility evaluation and quantifies the equivalent intensity change, defined as the amount in decibels that unmodified speech would need to be adjusted by in order to achieve the same intelligibility as modified speech.About:
This article is published in Speech Communication.The article was published on 2013-05-01. It has received 115 citations till now. The article focuses on the topics: Intelligibility (communication) & Voice activity detection.read more
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Journal ArticleDOI
Enhancing the intelligibility of statistically generated synthetic speech by means of noise-independent modifications
TL;DR: How a statistical parametric speech synthesis system trained on an ordinary synthesis database can be designed to generate highly intelligible speech, even at very low signal-to-noise ratios is described.
Journal ArticleDOI
Near and Far Field Speech-in-Noise Intelligibility Improvements Based on a Time–Frequency Energy Reallocation Approach
TL;DR: An algorithm designed to enhance the intelligibility of speech signals before they are presented in noisy environments was evaluated, and listeners preferred the quality of the speech processed by the noise-dependent version of the algorithm.
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A Study on the Relationship between the Intelligibility and Quality of Algorithmically-Modified Speech for Normal Hearing Listeners
TL;DR: The results suggest that when listening in noise, modification performance on improving intelligibility is more important than its potential negative impact on speech quality, however, when listen in quiet or at SNRs in whichelligibility is no longer an issue to listeners, the impact to speech quality due to modification becomes a concern.
Journal Article
Combining perceptually-motivated spectral shaping with loudness and duration modification for intelligibility enhancement of HMM-based synthetic speech in noise
TL;DR: This paper's entry to a speech-in-noise intelligibility enhancement evaluation: the Hurricane Challenge shows that the spectral shaper and the compressor contribute most under higher SNR conditions, particularly for speech-shaped noise.
Journal ArticleDOI
Adaptive Gain Control for Enhanced Speech Intelligibility Under Reverberation
Petko N. Petkov,Yannis Stylianou +1 more
TL;DR: This letter proposes a mathematical framework that optimizes the full-band signal power as a function of late reverberation power and the degree of signal nonstationarity and shows that higher signal-to-late-reverberation ratio in nonstationary regions of the speech signal is achieved with less aggressive, on average, gain modification.
References
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Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Proceedings ArticleDOI
Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
TL;DR: A new model has been developed for use across a wider range of network conditions, including analogue connections, codecs, packet loss and variable delay, known as perceptual evaluation of speech quality (PESQ).
Journal ArticleDOI
An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech
TL;DR: A short-time objective intelligibility measure (STOI) is presented, which shows high correlation with the intelligibility of noisy and time-frequency weighted noisy speech (e.g., resulting from noise reduction) of three different listening experiments and showed better correlation with speech intelligibility compared to five other reference objective intelligible models.
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Restructuring speech representations using a pitch-adaptive time-frequency smoothing and an instantaneous-frequency-based F0 extraction: possible role of a repetitive structure in sounds
TL;DR: A set of simple new procedures has been developed to enable the real-time manipulation of speech parameters by using pitch-adaptive spectral analysis combined with a surface reconstruction method in the time–frequency region.