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1
Lombard Effect for Bilingual Speakers in Cantonese and English: importance of spectro-temporal features ...
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2
Speech Audiometry at Home: Automated Listening Tests via Smart Speakers With Normal-Hearing and Hearing-Impaired Listeners
In: Trends Hear (2020)
Abstract: Speech audiometry in noise based on sentence tests is an important diagnostic tool to assess listeners’ speech recognition threshold (SRT), i.e., the signal-to-noise ratio corresponding to 50% intelligibility. The clinical standard measurement procedure requires a professional experimenter to record and evaluate the response (expert-conducted speech audiometry). The use of automatic speech recognition enables self-conducted measurements with an easy-to-use speech-based interface. This article compares self-conducted SRT measurements using smart speakers with expert-conducted laboratory measurements. With smart speakers, there is no control over the absolute presentation level, potential errors from the automated response logging, and room acoustics. We investigate the differences between highly controlled measurements in the laboratory and smart speaker-based tests for young normal-hearing (NH) listeners as well as for elderly NH, mildly and moderately hearing-impaired listeners in low, medium, and highly reverberant room acoustics. For the smart speaker setup, we observe an overall bias in the SRT result that depends on the hearing loss. The bias ranges from +0.7 dB for elderly moderately hearing-impaired listeners to +2.2 dB for young NH listeners. The intrasubject standard deviation is close to the clinical standard deviation (0.57/0.69 dB for the young/elderly NH compared with 0.5 dB observed for clinical tests and 0.93/1.09 dB for the mild/moderate hearing-impaired listeners compared with 0.9 dB). For detecting a clinically elevated SRT, the speech-based test achieves an area under the curve value of 0.95 and therefore seems promising for complementing clinical measurements.
Keyword: Original Article
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720343/
https://doi.org/10.1177/2331216520970011
http://www.ncbi.nlm.nih.gov/pubmed/33272109
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3
Modeling Binaural Unmasking of Speech Using a Blind Binaural Processing Stage
In: Trends Hear (2020)
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4
Effect of Speech Rate on Neural Tracking of Speech
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5
Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise
Carroll, Rebecca; Warzybok, Anna; Kollmeier, Birger. - : Frontiers Media S.A., 2016
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6
Are Experienced Hearing Aid Users Faster at Grasping the Meaning of a Sentence Than Inexperienced Users? An Eye-Tracking Study
Habicht, Julia; Kollmeier, Birger; Neher, Tobias. - : SAGE Publications, 2016
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7
Age-related differences in lexical access relate to speech recognition in noise
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8
Are experienced hearing aid ssers faster at grasping the meaning of a sentence than inexperienced ssers? An eye-tracking study
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9
International Collegium of Rehabilitative Audiology (ICRA) recommendations for the construction of multilingual speech tests ...
Akeroyd, Michael A; Arlinger, Stig; Bentler, Ruth A. - : Taylor & Francis, 2015
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10
How Hearing Impairment Affects Sentence Comprehension: Using Eye Fixations to Investigate the Duration of Speech Processing
Wendt, Dorothea; Kollmeier, Birger; Brand, Thomas. - : SAGE Publications, 2015
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11
Influence of vocabulary knowledge & lexical access times on speech intelligibility in different acoustic conditions
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12
Speech perception age, and hearing loss : methods to assess the balance between bottom-up and top-down processing
Uslar, Verena-Nicole [Verfasser]; Kollmeier, Birger [Akademischer Betreuer]; Ruigendijk, Esther [Akademischer Betreuer]. - Berlin : Winter-Industries, 2014
DNB Subject Category Language
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13
An Eye-Tracking Paradigm for Analyzing the Processing Time of Sentences with Different Linguistic Complexities
Wendt, Dorothea; Brand, Thomas; Kollmeier, Birger. - : Public Library of Science, 2014
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14
Characterizing sensory and cognitive factors of human speech processing through eye movements
Wendt, Dorothea Christine [Verfasser]; Kollmeier, Birger [Akademischer Betreuer]; Par, Steven van de [Akademischer Betreuer]. - Oldenburg : BIS der Universität Oldenburg, 2013
DNB Subject Category Language
Online dissertations
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15
Robust speech detection in real acoustic backgrounds with perceptually motivated features
In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 5, 690-706
BLLDB
OLC Linguistik
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16
Robustness of spectro-temporal features against intrinsic and extrinsic variations in automatic speech recognition
In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 5, 753-767
BLLDB
OLC Linguistik
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17
International kompatible und multilingual einsetzbare Sprachtests im Störschall ...
Kollmeier, Birger. - : German Medical Science GMS Publishing House, 2010
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18
PEMO-Q - a new method for objective audio quality assessment using a model of auditory perception
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 14 (2006) 6, 1902-1911
BLLDB
OLC Linguistik
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19
Adaptive separation of acoustic sources for anechoic conditions: A constrained frequency domain approach
In: Speech communication. - Amsterdam [u.a.] : Elsevier 39 (2003) 1-2, 79-96
OLC Linguistik
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20
Estimation of the signal-to-noise ratio with amplitude modulation spectrograms
In: Speech communication. - Amsterdam [u.a.] : Elsevier 38 (2002) 1-2, 1-17
BLLDB
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