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End-to-end Piano Performance-MIDI to Score Conversion with Transformers

Autor: Beyer, Tim, Dai, Angela

The automated creation of accurate musical notation from an expressive human performance is a fundamental task in computational musicology. To this end, we present an end-to-end deep learning approach that constructs detailed musical scores directly

Externí odkaz: http://arxiv.org/abs/2410.00210

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Weakly-Supervised End-to-End CAD Retrieval to Scan Objects

Autor: Beyer, Tim, Dai, Angela

CAD model retrieval to real-world scene observations has shown strong promise as a basis for 3D perception of objects and a clean, lightweight mesh-based scene representation; however, current approaches to retrieve CAD models to a query scan rely on

Externí odkaz: http://arxiv.org/abs/2203.12873

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Akademický článek

Race-relevant cues influence the processing of linguistic variation: Evidence from African American English and Mainstream American English

Autor: Beyer Tim, Renirie Tess, Andresen David

Publikováno v: Psychology of Language and Communication, Vol 28, Iss 1 (2024)

Race-relevant cues, whether vocal or visual, shape how listeners process the incoming speech signal. In order to better understand how these cues inform sentence-level processing, we asked listeners to rate the plausibility of three different sentenc

Externí odkaz: https://doaj.org/article/478342143ef2440db90757f7916b337a