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Characterizing the recovery of spectral, temporal, and phonemic speech information from visual cues

Characterizing the recovery of spectral, temporal, and phonemic speech information from visual cues
表征从视觉线索中恢复频谱、时间和音位语音信息
批准号:
10563860
负责人:
David Brang
金额:
$55.04万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-02-14 至 2028-01-31

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中文摘要
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英文摘要
Project Summary Auditory speech perception is essential for social, vocational, and emotional health in hearing individuals. However, the reliability of auditory signals varies widely in everyday settings (e.g., at a crowded party), requiring supplemental processes to enable accurate speech perception. The principle mechanisms that support the perception of degraded auditory speech signals are auditory-visual (crossmodal) interactions, which can perceptually restore speech content using visual cues provided by lipreading, rhythmic articulatory movements, and the natural correlations present between oral resonance and mouth shape. Moreover, receptive speech processes can be limited through a variety of causes, including intrinsic brain tumor, stroke, cochlear implant usage, and age-related hearing loss, making compensatory crossmodal mechanisms necessary for one to continue working and maintaining healthy social interactions. However, the physiological processes that enable vision to facilitate speech perception remain poorly understood and no integrative model exists for how these multiple visual dimensions combine to enhance auditory speech perception. In the auditory domain, distributed populations of neurons encode spectro-temporal information about acoustic cues that are then transcoded into phonemes. We propose a dual-route perceptual model through which visual signals integrate with phoneme- coded neurons. First, a direct path through which viseme-to-phoneme conversions generate semi-overlapping distributions of activity in the superior temporal gyrus, leading to improved hearing through improved auditory phoneme tuning functions. Second, an indirect path through which visual features restore spectral information about speech frequencies and alter phoneme-response timing, resulting in improved auditory spectro-temporal profiles (which in turn are transcoded into phonemes with greater precision). Finally, we will examine the hypothesis that our perceptual system optimizes which of these visual dimensions is prioritized for recovery based on what is missing from the auditory signal. These studies will provide a unified framework for how speech perception benefits from different visual signals. By understanding biological approaches to crossmodally restoring degraded auditory speech information, we can develop better targeted rehabilitation programs and neural prostheses to maximize speech perception recovery after trauma or during healthy aging.
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Networks Underlying Visual Modulation of Speech Perception
Networks Underlying Visual Modulation of Speech Perception
Networks underlying visual modulation of speech perception
  • 批准号:
    8959922
  • 项目类别:
  • 资助金额:
    $13.74万
  • 财政年份:
    2014
  • 负责人:
    David Brang
  • 依托单位:
国内基金
海外基金
多模态超声VisTran-Attention网络评估早期子宫颈癌保留生育功能手术可行性
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    郑巧
  • 依托单位:
Ultrasomics-Attention孪生网络早期精准评估肝内胆管癌免疫治疗的研究
  • 批准号:
    --
  • 项目类别:
    面上项目
  • 资助金额:
    52万元
  • 批准年份:
    2022
  • 负责人:
    陈立达
  • 依托单位: