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Treasure Hunters 2: exploration of speech training efficacy ...
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Self-Supervised Representation Learning for Speech Using Visual Grounding and Masked Language Modeling ...
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| 24 |
Spatial Frequencies in Visual and Audiovisual Speech Perception (Wilson et al., 2016) ...
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Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ...
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Spatial Frequencies in Visual and Audiovisual Speech Perception (Wilson et al., 2016) ...
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Whispered speech perception in congenital amusia (Zhang et al., 2022) ...
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Whispered speech perception in congenital amusia (Zhang et al., 2022) ...
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| 29 |
Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language?
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Águas Lopes, José David; Cumbal, Ronald; Engwall, Olov. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022
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| 30 |
MEduKG: A Deep-Learning-Based Approach for Multi-Modal Educational Knowledge Graph Construction
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In: Information; Volume 13; Issue 2; Pages: 91 (2022)
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| 31 |
Computational Modelling of Tone Perception Based on Direct Processing of f0 Contours
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In: Brain Sciences; Volume 12; Issue 3; Pages: 337 (2022)
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| 32 |
Cochlear Implant Results in Older Adults with Post-Lingual Deafness: The Role of “Top-Down” Neurocognitive Mechanisms
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1343 (2022)
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Abstract:
To date, no clear specific cognitive predictors of speech perception outcome in older adult cochlear implant (CI) users have yet emerged. The aim of this prospective study was to increase knowledge on cognitive and clinical predictors of the audiological outcome in adult cochlear implant users. A total of 21 patients with post-lingual deafness, who were candidates for cochlear implantation, were recruited at the Department of Ear, Nose and Throat, University of Torino (Italy) and subjected to a pre-operatory neuropsychological assessment (T0) and an audiological examination after 12 months of implantation (T12). Patients who, at T12, had a 60 dB verbal recognition above 80%, were younger (z = −2.131, p = 0.033) and performed better in the Verbal Semantic Fluency Test at T0 (z = −1.941, p = 0.052) than subjects who had a 60 dB verbal recognition at T12 below 80%. The most significant predictors of the CI audiological outcome at T12 were age (β = −0.492, p = 0.024) and patients’ TMT-A performance at baseline (β = −0.486, p = 0.035). We conclude that cognitive processing speed might be a good predictor of the level of speech understanding in older adult patients with CI after one year of implantation.
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Keyword:
cochlear implant; hearing impairment; neurocognition; older adults; processing speed; speech recognition
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URL: https://doi.org/10.3390/ijerph19031343
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| 33 |
Using Automatic Speech Recognition to Assess Thai Speech Language Fluency in the Montreal Cognitive Assessment (MoCA)
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In: Sensors; Volume 22; Issue 4; Pages: 1583 (2022)
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Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System
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In: Sensors; Volume 22; Issue 4; Pages: 1509 (2022)
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| 35 |
MLLP-VRAIN Spanish ASR Systems for the Albayzín-RTVE 2020 Speech-to-Text Challenge: Extension
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In: Applied Sciences; Volume 12; Issue 2; Pages: 804 (2022)
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Emotional Speech Recognition Method Based on Word Transcription
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In: Sensors; Volume 22; Issue 5; Pages: 1937 (2022)
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Evaluating Novel Speech Transcription Architectures on the Spanish RTVE2020 Database
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In: Applied Sciences; Volume 12; Issue 4; Pages: 1889 (2022)
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| 38 |
Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy
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In: Sensors; Volume 22; Issue 8; Pages: 3027 (2022)
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| 39 |
Emotional Speech Recognition Using Deep Neural Networks
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In: Sensors; Volume 22; Issue 4; Pages: 1414 (2022)
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A Study of Data Augmentation for ASR Robustness in Low Bit Rate Contact Center Recordings Including Packet Losses
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1580 (2022)
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