Remove room-acoustics
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Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning

Machine Learning Research at Apple

Spatial LibriSpeech is designed for machine learning model training, and it includes labels for source position, speaking direction, room acoustics and geometry. Spatial LibriSpeech is generated by augmenting LibriSpeech samples with >220k simulated acoustic conditions across >8k synthetic rooms.

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Pines’ demon observed as a 3D acoustic plasmon in Sr2RuO4

Hacker News

Consisting of out-of-phase movement of electrons in different bands, demons are acoustic, electrically neutral and do not couple to light, so have never been detected in an equilibrium, 3D metal. Here, we present evidence for a demon in Sr2RuO4 from momentum-resolved electron energy-loss spectroscopy.

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The Cheesy Charm of the Clapper

Hacker News

In 1985, Peter Liljequist and Kou Chen filed a Canadian patent for an acoustic switch for turning lights and other appliances on and off. Many people will elect not to use an electrical appliance such as a television or light, if they must walk across a room to turn the television or light ON.”

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CDS PhD Student Chris Ick Unveils Groundbreaking Research in Sound Localization Using Simulated…

NYU Center for Data Science

Ick’s paper, “ Leveraging Geometrical Acoustic Simulations of Spatial Room Impulse Responses for Improved Sound Event Detection and Localization ,” which constitutes the early results of his dissertation, explores the complex task of teaching machines to localize sound solely through audio. “What if I just simulate this data?”

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What Is an Electronic Sackbut?

Hacker News

He considered joining the acoustics lab at NRC, until he realized they were only interested in measuring the properties of sound, not in the aesthetics. He designated one room for all of the instruments he had accumulated, both traditional (piano, violin, guitar, drums) and experimental (homemade electronic organ and other instruments).

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Meta SeamlessM4T: Breaking language barriers with AI magic

Dataconomy

The text-to-unit component deciphers discrete acoustic units for speech languages, converted into audio waveforms using a multilingual HiFi-GAN unit vocoder. SeamlessM4T’s text decoder can take encoded speech or text representations, facilitating various tasks within the same language.

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Machine Learning Advances Are Improving Voiceover Audio Technology

Smart Data Collective

How much do the room acoustics and physical proximity impact the level of understanding? For example, if you hear two or more people speaking, how would you describe the parameters for these two people talking to each other? Well, it depends on many things. What about other noises that can occur during the conversation?