Designing a "cocktail party listener" that functionally mimics the selective perception of a human auditory system has been pursued over the past decades. By exploiting acoustic metamaterials and compressive sensing, we present here a single-sensor listening device that separates simultaneous overlapping sounds from different sources. The device with a compact array of resonant metamaterials is demonstrated to distinguish three overlapping and independent sources with 96.67% correct audio recognition. Segregation of the audio signals is achieved using physical layer encoding without relying on source characteristics. This hardware approach to multichannel source separation can be applied to robust speech recognition and hearing aids and may be extended to other acoustic imaging and sensing applications. metamaterials | cocktail party problem | compressive sensing T he "cocktail party" or multispeaker listening problem is inspired by the remarkable ability of the human's auditory system in selectively attending to one speaker or audio signal in a multiple-speaker noisy environment (1, 2). Over the past half a century (3), the quest to understand the underlying mechanism (4-6) and build functionally similar devices has motivated significant research efforts (4-8).Previously proposed engineered multispeaker listening systems generally fall into two categories. The first kind is based on audio features and linguistic models of speech. For example, harmonic characteristics, temporal continuity, onset/offset of speech units combined with hidden Markov language models can be used to group overlapping audio signals into different sources (7, 9, 10). The drawback of such an approach is that certain audio characteristics have to be assumed (e.g., nonoverlapping in spectrogram) and linguistic model-based estimation can be very computationally intensive. The second kind relies on multisensor arrays to spatially filter sources (11). The need for multiple transducers and system complexity are the major disadvantages of the second approach.In this work, we demonstrate a multispeaker listening system that separates overlapping simultaneous conversations by leveraging the wave modulation capabilities of acoustic metamaterials. Acoustic metamaterials are a broad family of engineered materials which can be designed to possess flexible and unusual effective properties (12, 13). In the past, acoustic metamaterials with high anisotropy (14, 15), extreme nonlinearity (16), or negative dynamic parameters (density, bulk modulus, refractive index) (17-20) have been realized. Applications such as scattering reducing sound cloak (21, 22), beam steering metasurface (23), and other wave manipulating devices (24-27) have been proposed and demonstrated. We demonstrate here that acoustic metamaterials can also be useful for encoding independent acoustic signals coming from different spatial locations by creating highly frequency-dependent and spatially complex measurement modes (28), and aid the solution finding for the inverse problem. Such ph...