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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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Abstract:
It has been widely assumed that in speech perception it is imperative to first detect a set of distinctive properties or features and then use them to recognize phonetic units like consonants, vowels, and tones. Those features can be auditory cues or articulatory gestures, or a combination of both. There have been no clear demonstrations of how exactly such a two-phase process would work in the perception of continuous speech, however. Here we used computational modelling to explore whether it is possible to recognize phonetic categories from syllable-sized continuous acoustic signals of connected speech without intermediate featural representations. We used Support Vector Machine (SVM) and Self-organizing Map (SOM) to simulate tone perception in Mandarin, by either directly processing f0 trajectories, or extracting various tonal features. The results show that direct tone recognition not only yields better performance than any of the feature extraction schemes, but also requires less computational power. These results suggest that prior extraction of features is unlikely the operational mechanism of speech perception.
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Keyword:
Mandarin tones; speech perception; tone features; tone recognition
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URL: https://doi.org/10.3390/brainsci12030337
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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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| 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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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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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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