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Evaluating the intelligibility benefit of speech modifications in known noise conditions
The use of live and recorded speech is widespread in applications where correct message
reception is important. Furthermore, the deployment of synthetic speech in such applications …
reception is important. Furthermore, the deployment of synthetic speech in such applications …
[PDF][PDF] Intelligibility-enhancing speech modifications: the hurricane challenge.
Speech output is used extensively, including in situations where correct message reception
is threatened by adverse listening conditions. Recently, there has been a growing interest in …
is threatened by adverse listening conditions. Recently, there has been a growing interest in …
Vocal effort based speaking style conversion using vocoder features and parallel learning
Speaking style conversion (SSC) is the technology of converting natural speech signals from
one style to another. In this study, we aim to provide a general SSC system for converting …
one style to another. In this study, we aim to provide a general SSC system for converting …
Evaluating the predictions of objective intelligibility metrics for modified and synthetic speech
Several modification algorithms that alter natural or synthetic speech with the goal of
improving intelligibility in noise have been proposed recently. A key requirement of many …
improving intelligibility in noise have been proposed recently. A key requirement of many …
Speaking style conversion from normal to Lombard speech using a glottal vocoder and Bayesian GMMs
Speaking style conversion is the technology of converting natural speech signals from one
style to another. In this study, we focus on normal-to-Lombard conversion. This can be used …
style to another. In this study, we focus on normal-to-Lombard conversion. This can be used …
Intelligibility enhancement of HMM-generated speech in additive noise by modifying Mel cepstral coefficients to increase the glimpse proportion
This paper describes speech intelligibility enhancement for Hidden Markov Model (HMM)
generated synthetic speech in noise. We present a method for modifying the Mel cepstral …
generated synthetic speech in noise. We present a method for modifying the Mel cepstral …
Evaluating near end listening enhancement algorithms in realistic environments
Speech playback (eg, TV, radio, public address) becomes harder to understand in the
presence of noise and reverberation. NELE (Near End Listening Enhancement) algorithms …
presence of noise and reverberation. NELE (Near End Listening Enhancement) algorithms …
[PDF][PDF] Exploring Listeners' Speech Rate Preferences.
Fast speech may reduce intelligibility, but there is little agreement as to whether listeners
benefit from slower speech in noisy conditions. The current study explored the relationship …
benefit from slower speech in noisy conditions. The current study explored the relationship …
Analysis and HMM-based synthesis of hypo and hyperarticulated speech
Hypo and hyperarticulation refer to the production of speech with respectively a reduction
and an increase of the articulatory efforts compared to the neutral style. Produced …
and an increase of the articulatory efforts compared to the neutral style. Produced …
Effects of linear and nonlinear speech rate changes on speech intelligibility in stationary and fluctuating maskers
Algorithmic modifications to the durational structure of speech designed to avoid intervals of
intense masking lead to increases in intelligibility, but the basis for such gains is not clear …
intense masking lead to increases in intelligibility, but the basis for such gains is not clear …