Journal ArticleDOI
Applied principles of clear and Lombard speech for automated intelligibility enhancement in noisy environments
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TLDR
The results show that ERVU successfully increased intelligibility of speech using a simple automated segmentation algorithm, applicable to a wide variety of communication systems such as cell phones and public address systems.About:
This article is published in Speech Communication.The article was published on 2006-05-01. It has received 106 citations till now. The article focuses on the topics: Intelligibility (communication) & Speech enhancement.read more
Citations
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Journal ArticleDOI
Noise Effects on Human Performance: A Meta-Analytic Synthesis
James L. Szalma,Peter A. Hancock +1 more
TL;DR: Mixed evidence was obtained for the traditional arousal and masking explanations for noise effects, and the overall pattern of findings was most consistent with the maximal adaptability theory, a mental-resource-based explanation of stress and performance variation.
Journal ArticleDOI
Speaking and Hearing Clearly: Talker and Listener Factors in Speaking Style Changes
Rajka Smiljanic,Ann R. Bradlow +1 more
TL;DR: An overview of the research concerning the nature of the distinct, listener-oriented speaking style called 'clear speech' and its effect on intelligibility for various listener populations is provided.
Journal ArticleDOI
Influence of sound immersion and communicative interaction on the Lombard effect.
TL;DR: The results support the idea that the Lombard effect is both a communicative adaptation and an automatic regulation of vocal intensity.
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The contribution of changes in F0 and spectral tilt to increased intelligibility of speech produced in noise
Youyi Lu,Martin Cooke +1 more
TL;DR: In the presence of speech-shaped noise, flattening of spectral tilt contributed greatly to the intelligibility gain of noise-induced speech over speech produced in quiet while an increase in F0 did not have a significant influence.
Journal ArticleDOI
A parallel neural network approach to prediction of Parkinson's Disease
Freddie ström,Raşit Köker +1 more
TL;DR: This paper uses more than a unique neural network to reduce the possibility of decision with error in the prediction of Parkinson's Disease and demonstrates that the designed system, to some extent, deals with the problems of imbalanced data sets.
References
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Journal ArticleDOI
Suppression of acoustic noise in speech using spectral subtraction
TL;DR: A stand-alone noise suppression algorithm that resynthesizes a speech waveform and can be used as a pre-processor to narrow-band voice communications systems, speech recognition systems, or speaker authentication systems.
Journal ArticleDOI
An analysis of perceptual confusions among some English consonants.
TL;DR: In this paper, an articulatory analysis of 16 English consonants was performed over voice communication systems with frequency distortion and with random masking noise. The listeners were forced to guess at every sound and a count was made of all the different errors that resulted when one sound was confused with another.
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A signal subspace approach for speech enhancement
Yariv Ephraim,H.L. Van Trees +1 more
TL;DR: The popular spectral subtraction speech enhancement approach is shown to be a signal subspace approach which is optimal in an asymptotic (large sample) linear minimum mean square error sense, assuming the signal and noise are stationary.
Journal ArticleDOI
Speaking Clearly for the Hard of Hearing II: Acoustic Characteristics of Clear and Conversational Speech.
TL;DR: In this article, the authors report the results of acoustic analyses performed on the conversational and clear speech, and show that speaking clearly cannot be regarded as equivalent to the application of high-frequency emphasis.
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