We introduce MMAR, a new benchmark designed to evaluate the deep reasoning capabilities of Audio-Language Models (ALMs) across massive multi-disciplinary tasks. MMAR ...

Abstract: The exponential growth of e-commerce has resulted in massive transactional and behavioral datasets, demanding robust analytical methods for actionable insights. This paper introduces a ...

Abstract: This paper presents a novel approach for creating more meaningful visual representations of audio time-frequency information. Conventional spectrograms, while effective for visualizing ...

No choppiness between bytestream segments Handles non-real-time streams -- faster and slower than real-time Handles intermittent streams (i.e., streams that may not yield bytes for a while) ...