Reference Microphone Selection for Guided Source Separation based on the Normalized L-p Norm
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866917052642492416 |
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| author | Lohmann, Anselm Nakatani, Tomohiro Ikeshita, Rintaro Delcroix, Marc Araki, Shoko Doclo, Simon |
| author_facet | Lohmann, Anselm Nakatani, Tomohiro Ikeshita, Rintaro Delcroix, Marc Araki, Shoko Doclo, Simon |
| contents | Guided Source Separation (GSS) is a popular front-end for distant automatic speech recognition (ASR) systems using spatially distributed microphones. When considering spatially distributed microphones, the choice of reference microphone may have a large influence on the quality of the output signal and the downstream ASR performance. In GSS-based speech enhancement, reference microphone selection is typically performed using the signal-to-noise ratio (SNR), which is optimal for noise reduction but may neglect differences in early-to-late-reverberant ratio (ELR) across microphones. In this paper, we propose two reference microphone selection methods for GSS-based speech enhancement that are based on the normalized $\ell_p$-norm, either using only the normalized $\ell_p$-norm or combining the normalized $\ell_p$-norm and the SNR to account for both differences in SNR and ELR across microphones. Experimental evaluation using a CHiME-8 distant ASR system shows that the proposed $\ell_p$-norm-based methods outperform the baseline method, reducing the macro-average word error rate. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_27198 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Reference Microphone Selection for Guided Source Separation based on the Normalized L-p Norm Lohmann, Anselm Nakatani, Tomohiro Ikeshita, Rintaro Delcroix, Marc Araki, Shoko Doclo, Simon Audio and Speech Processing Sound Guided Source Separation (GSS) is a popular front-end for distant automatic speech recognition (ASR) systems using spatially distributed microphones. When considering spatially distributed microphones, the choice of reference microphone may have a large influence on the quality of the output signal and the downstream ASR performance. In GSS-based speech enhancement, reference microphone selection is typically performed using the signal-to-noise ratio (SNR), which is optimal for noise reduction but may neglect differences in early-to-late-reverberant ratio (ELR) across microphones. In this paper, we propose two reference microphone selection methods for GSS-based speech enhancement that are based on the normalized $\ell_p$-norm, either using only the normalized $\ell_p$-norm or combining the normalized $\ell_p$-norm and the SNR to account for both differences in SNR and ELR across microphones. Experimental evaluation using a CHiME-8 distant ASR system shows that the proposed $\ell_p$-norm-based methods outperform the baseline method, reducing the macro-average word error rate. |
| title | Reference Microphone Selection for Guided Source Separation based on the Normalized L-p Norm |
| topic | Audio and Speech Processing Sound |
| url | https://arxiv.org/abs/2510.27198 |