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Challenges and Opportunities in Multi-device Speech Processing

arXiv 2206.15432 ↗First posted 27 Jun 2022eess.AS cs.LGcited by 0

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Abstract (arXiv)

We review current solutions and technical challenges for automatic speech recognition, keyword spotting, device arbitration, speech enhancement, and source localization in multidevice home environments to provide context for the INTERSPEECH 2022 special session, "Challenges and opportunities for signal processing and machine learning for multiple smart devices". We also identify the datasets needed to support these research areas. Based on the review and our research experience in the multi-device domain, we conclude with an outlook on the future evolution

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References · 17

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  11. 20203D Localization of a Sound Source Using Mobile Microphone Arrays Referenced by SLAMcited by 3
  12. 2021Dual-Encoder Architecture with Encoder Selection for Joint Close-Talk and Far-Talk Speech Recognitioncited by 3
5 more
  1. 2021One model to enhance them all: array geometry agnostic multi-channel personalized speech enhancementcited by 3
  2. 2021Microphone Array Generalization for Multichannel Narrowband Deep Speech Enhancementcited by 2
  3. 2021End-to-end Alexa Device Arbitrationcited by 2
  4. 2019Distributed Microphone Speech Enhancement based on Deep Learningcited by 1
  5. 2020Communication-Cost Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrayscited by 1

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