# Speech Separation Using Partially Asynchronous Microphone Arrays Without Resampling

arXiv: https://arxiv.org/abs/1808.00096 · HTML: https://mlsanity.com/paper/1808.00096/

## Key facts

- Cited by 2 papers in the map (data through 19 Oct 2026).
- First posted on arXiv 31 Jul 2018.

## Built on by (most cited first, 2 of 2)

- [SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays](https://mlsanity.com/paper/2307.16582/) (2023)
- [WhisperMask: A Noise Suppressive Mask-Type Microphone for Whisper Speech](https://mlsanity.com/paper/2408.12500/) (2024)

## Abstract (arXiv)

We consider the problem of separating speech sources captured by multiple spatially separated devices, each of which has multiple microphones and samples its signals at a slightly different rate. Most asynchronous array processing methods rely on sample rate offset estimation and resampling, but these offsets can be difficult to estimate if the sources or microphones are moving. We propose a source separation method that does not require offset estimation or signal resampling. Instead, we divide the distributed array into several synchronous subarrays. All arrays are used jointly to estimate the time-varying signal statistics, and those statistics are used to design separate time-varying spatial filters in each array. We demonstrate the method for speech mixtures recorded on both stationary and moving microphone arrays.