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Multi-Speaker Separation in Reverberant Room Using Velocity-Based Microphone

Multi-Speaker Separation in Reverberant Room Using Velocity-Based Microphone
使用基于力度的麦克风在混响室中进行多扬声器分离
批准号:
531229-2018
负责人:
Zhu, WeiPing
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
Audio signal separation has found many applications in electrical and computer engineering fields, such as**automatic speech recognition, voice communication, hearing aids etc. These applications have driven the need**of directional microphone solutions that can pick up only the sound from the desired speaker while suppressing**the voices from other speakers as well as the background noise. Conventional solutions using array of**pressure-based microphones combined with digital signal processing (DSP) techniques do not work well in**space-constrained applications where the captured sound contains mixed voices and ambient noises. Soundskrit**is developing a revolutionary fiber-based directional microphone technology that can directly measure the**particle velocity of an incoming sound wave. Currently, the Soundskrit R&D team lacks signal processing**expertise that is required to develop sound separation software based on the real data acquired by the new**fiber-based microphone in a multi-speaker and reverberant environment.**In this project, we intend to develop DSP algorithms for the Soundskrit's prototype to separate multiple moving**speakers in a reverberant room. The project has two main objectives: (1) localizing active sources in a**reverberant room using sound intensity, and (2) beamforming toward the desired speaker to attenuate unwanted**sounds and noise. The proposed work is divided into three phases. Phase 1 is to build a baseline system to**study the performance of the existing solutions via computer simulation. Phase 2 is to develop DSP algorithms**for the Soundskrit prototype to achieve the objectives in a simulated environment and compare it with the**solutions in Phase 1. In Phase 3, real data will be collected using Soundskrit's prototype in several reverberant**rooms, and the algorithm will be tested and evaluated in real-time. The research results achieved in this project**will be transferred to Soundskrit through a detailed technical report including all software codes and hardware**design.
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Advanced Signal Processing Enabled Massive MIMO With NOMA
  • 批准号:
    RGPIN-2020-06815
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 财政年份:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 依托单位:
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  • 批准号:
    RGPIN-2020-06815
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2020
  • 负责人:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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