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Measuring Speech Intelligibility and Hearing-Aid Benefit Using Everyday Conversational Sentences in Real-World Environments
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In: Front Neurosci (2022)
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The importance of processing resolution in “ideal time-frequency segregation” of masked speech and the implications for predicting speech intelligibilitya)
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In: J Acoust Soc Am (2020)
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Development of the Everyday Conversational Sentences in Noise test
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In: J Acoust Soc Am (2020)
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Spectro-temporal weighting of interaural time differences in speech
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In: J Acoust Soc Am (2020)
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Energetic and Informational Components of Speech-on-Speech Masking in Binaural Speech Intelligibility and Perceived Listening Effort
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The importance of a broad bandwidth for understanding “glimpsed” speech(a))
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In: J Acoust Soc Am (2019)
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Role of Binaural Temporal Fine Structure and Envelope Cues in Cocktail-Party Listening
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A Dynamic speech comprehension test for assessing real-world listening ability
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A Method for assessing auditory spatial analysis in reverberant multitalker environments
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Development and preliminary evaluation of a new test of ongoing speech comprehension
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Auditory masking of speech in reverberant multi-talker environments
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A Flexible Question-and-Answer Task for Measuring Speech Understanding
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An Examination of speech reception thresholds measured in a simulated reverberant cafeteria environment
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Effect of audibility on spatial release from speech-on-speech masking
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Cognitive spare capacity : evaluation data and its association with comprehension of dynamic conversations
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An Evaluation of the performance of two binaural beamformers in complex and dynamic multitalker environments
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Effect of audibility on spatial release from speech-on-speech masking
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The role of syntax in maintaining the integrity of streams of speech
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Modelling binaural detection of speech stimuli in complex reverberant environments
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Abstract:
In listening experiments that assess spatial hearing (e.g. localization) in the presence of background noise it is important to ensure audibility of the target stimulus. Target audibility could be easily controlled using knowledge about the masked thresholds in the respective paradigm. However, if a large number of acoustic conditions as well as target sounds are considered, individual psychoacoutic threshold measurements are not feasible and alternative methods need to be applied. In this study a binaural auditory model is applied to predict masked thresholds for wide-band non-stationary stimuli. This model closely follows the approach of Hant and Alwan (Speech Communication, 2003, Vol. 40, pp. 291-313). In the first stage of the model an auditory front-end generates an internal representation of the stimuli in both ears. The auditory front-end includes head-related transfer functions auditory bandpass filtering, squaring, temporal integration, logarithmic compression and additive internal noise. In the second stage, a decision device combines d0 information across time, frequency and ears and provides an estimate of the masked threshold. Three different methods of combining information across ears were compared: A better-ear approach, a cross-ear glimpsing approach and an approach using binaural integration. The model was verified using psychoacoustic masked threshold data of a detection paradigm that considered a target word presented from 15 different locations in a reverberant multi-talker background. The model predictions were in very good agreement with the measured masked thresholds. It is concluded that this model is suitable to control audibility of a target stimulus in a complex reverberant environment. Moreover, the model was used to systematically analyze the effect of head-shadow, signal spectrum, auditory sensitivity and room reverberation on target audibility. ; 8 page(s)
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URL: http://hdl.handle.net/1959.14/1247171
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The Effect of better-ear glimpsing on spatial release from masking
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